NDLI: A three-point minimal solution for panoramic stitching with lens distortion

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2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

2014 IEEE Conference on Computer Vision and Pattern Recognition

2013 IEEE Conference on Computer Vision and Pattern Recognition

2012 IEEE Conference on Computer Vision and Pattern Recognition

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

2009 IEEE Conference on Computer Vision and Pattern Recognition

2008 IEEE Conference on Computer Vision and Pattern Recognition

Corporate donors

CVPR 2008 abstracts (main conference)

Table of contents

Face shape recovery from a single image using CCA mapping between tensor spaces

Classifiability-based Optimal Discriminatory Projection Pursuit

Blindly separating mixtures of multiple layers with spatial shifts

Structure-perceptron learning of a hierarchical log-linear model

Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition

Classification via semi-Riemannian spaces

Mining compositional features for boosting

Context-aware clustering

Locally adaptive learning for translation-variant MRF image priors

Semi-supervised SVM batch mode active learning for image retrieval

Semi-supervised distance metric learning for Collaborative Image Retrieval

Multiple-instance ranking: Learning to rank images for image retrieval

Correlational spectral clustering

A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality

High-arity interactions, polyhedral relaxations, and cutting plane algorithm for soft constraint optimisation (MAP-MRF)

L1 regularized projection pursuit for additive model learning

Semi-Supervised Discriminant Analysis using robust path-based similarity

Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling

A hierarchical and contextual model for aerial image understanding

Sparse probabilistic regression for activity-independent human pose inference

Re-weighting Linear Discrimination Analysis under ranking loss

Latent topic random fields: Learning using a taxonomy of labels

Minimal local reconstruction error measure based discriminant feature extraction and classification

Consistent image analogies using semi-supervised learning

Learning a geometry integrated image appearance manifold from a small training set

Learning subcategory relevances for category recognition

Structure learning in random fields for heart motion abnormality detection

Learning Bayesian Networks with qualitative constraints

Semi-supervised learning of multi-factor models for face de-identification

Incremental learning of nonparametric Bayesian mixture models

$(BP)^{2}:$ Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies

Scene classification with low-dimensional semantic spaces and weak supervision

Joint Conditional Random Field of multiple views with online learning for image-based rendering

Bayesian tactile face

Unified Principal Component Analysis with generalized Covariance Matrix for face recognition

Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut

A unified framework for generalized Linear Discriminant Analysis

A deformable local image descriptor

A joint appearance-spatial distance for kernel-based image categorization

A learning-based hybrid tagging and browsing approach for efficient manual image annotation

Spectral methods for semi-supervised manifold learning

Annotating collections of photos using hierarchical event and scene models

Two-Dimensional Active Learning for image classification

Joint multi-label multi-instance learning for image classification

Pattern discovery in motion time series via structure-based spectral clustering

Coherent image annotation by learning semantic distance

A quasi-random sampling approach to image retrieval

Private Content Based Image Retrieval

Rank-based distance metric learning: An application to image retrieval

Geo-located image analysis using latent representations

An efficient algorithm for compressed MR imaging using total variation and wavelets

Robust tensor factorization using R1 norm

Hierarchical, learning-based automatic liver segmentation

A statistical deformation prior for non-rigid image and shape registration

Computing minimal deformations: application to construction of statistical shape models

Learning based coarse-to-fine image registration

Fully automatic feature localization for medical images using a global vector concentration approach

Cell motion analysis without explicit tracking

The statistical modelling of fingerprint minutiae distribution with implications for fingerprint individuality studies

Enforcing stochastic inverse consistency in non-rigid image registration and matching

Exact inference in multi-label CRFs with higher order cliques

Reduce, reuse & recycle: Efficiently solving multi-label MRFs

Integrated feature selection and higher-order spatial feature extraction for object categorization

Dimensionality reduction using covariance operator inverse regression

Regression from patch-kernel

Large margin pursuit for a Conic Section classifier

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

Joint learning and dictionary construction for pattern recognition

Similarity-based cross-layered hierarchical representation for object categorization

Learning and using taxonomies for fast visual categorization

What do color changes reveal about an outdoor scene?

A theory of defocus via Fourier analysis

Single-image vignetting correction using radial gradient symmetry

Least squares surface reconstruction from measured gradient fields

Intensity statistics-based HSI diffusion for color photo denoising

Edge preserving spatially varying mixtures for image segmentation

Robust higher order potentials for enforcing label consistency

Multi-label image segmentation via point-wise repetition

Segmentation by transduction

Using contours to detect and localize junctions in natural images

Interactive image matting for multiple layers

Clustering and dimensionality reduction on Riemannian manifolds

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model

Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation

Symmetric multi-view stereo reconstruction from planar camera arrays

Video segmentation: Propagation, validation and aggregation of a preceding graph

Boundary snapping for robust image cutouts

Tracking distributions with an overlap prior

Globally optimal surface segmentation using regional properties of segmented objects

A Bayesian approach for image segmentation with shape priors

Selective hidden random fields: Exploiting domain-specific saliency for event classification

Learning class-specific affinities for image labelling

Segmentation of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model

Geo-spatial aerial video processing for scene understanding and object tracking

Generalised blurring mean-shift algorithms for nonparametric clustering

Auto-context and its application to high-level vision tasks

Motion segmentation via robust subspace separation in the presence of outlying, incomplete, or corrupted trajectories

Principled fusion of high-level model and low-level cues for motion segmentation

Unsupervised estimation of segmentation quality using nonnegative factorization

Graph cut based image segmentation with connectivity priors

High resolution matting via interactive trimap segmentation

Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces

Globally optimal shape-based tracking in real-time

Matching non-rigidly deformable shapes across images: A globally optimal solution

High resolution motion layer decomposition using dual-space graph cuts

Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions

Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation

Partitioning of image datasets using discriminative context information

Fast texture segmentation model based on the shape operator and active contour

Shape prior segmentation of multiple objects with graph cuts

Constrained spectral clustering through affinity propagation

Coherent Laplacian 3-D protrusion segmentation

Combining appearance models and Markov Random Fields for category level object segmentation

Normalized tree partitioning for image segmentation

FuzzyMatte: A computationally efficient scheme for interactive matting

A region based stereo matching algorithm using cooperative optimization

Global pose estimation using non-tree models

Building segmentation for densely built urban regions using aerial LIDAR data

Hybrid body representation for integrated pose recognition, localization and segmentation

Image segmentation via convolution of a level-set function with a Rigaut Kernel

Detecting and matching repeated patterns for automatic geo-tagging in urban environments

Recognition by association via learning per-exemplar distances

Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection

A Scalable graph-cut algorithm for N-D grids

Image partial blur detection and classification

Subspace segmentation with outliers: A grassmannian approach to the maximum consensus subspace

Robust estimation of gaussian mixtures from noisy input data

Progressive search space reduction for human pose estimation

Branch-and-bound hypothesis selection for two-view multiple structure and motion segmentation

Graph cut with ordering constraints on labels and its applications

Superpixel lattices

Object recognition and segmentation by non-rigid quasi-dense matching

Sequential sparsification for change detection

Efficient sequential correspondence selection by cosegmentation

A multi-compartment segmentation framework with homeomorphic level sets

Image segmentation with a parametric deformable model using shape and appearance priors

Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection

Sparsity, redundancy and optimal image support towards knowledge-based segmentation

Modeling the structure of multivariate manifolds: Shape maps

Conditional density learning via regression with application to deformable shape segmentation

Clothing cosegmentation for recognizing people

Smoothing-based Optimization

The scale of a texture and its application to segmentation

A probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images

Interactive image segmentation via minimization of quadratic energies on directed graphs

Joint tracking of features and edges

Fast approximate Random Walker segmentation using eigenvector precomputation

Detection and matching of rectilinear structures

Discriminative modeling by Boosting on Multilevel Aggregates

Graph-shifts: Natural image labeling by dynamic hierarchical computing

A bi-illuminant dichromatic reflection model for understanding images

Constrained image segmentation from hierarchical boundaries

Image de-fencing

Extracting smooth and transparent layers from a single image

Dense 3D motion capture from synchronized video streams

Recovering consistent video depth maps via bundle optimization

Directions of egomotion from antipodal points

3D pose refinement from reflections

Local deformation models for monocular 3D shape recovery

Probabilistic graph and hypergraph matching

3D model matching with Viewpoint-Invariant Patches (VIP)

Unsupervised modeling of object categories using link analysis techniques

Semantic texton forests for image categorization and segmentation

Unifying discriminative visual codebook generation with classifier training for object category recognition

An adaptive learning method for target tracking across multiple cameras

General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy

Image/video deblurring using a hybrid camera

Efficient mean shift belief propagation for vision tracking

Visual quasi-periodicity

Learning object motion patterns for anomaly detection and improved object detection

Context and observation driven latent variable model for human pose estimation

Sequential particle swarm optimization for visual tracking

3D occlusion recovery using few cameras

Online learning of patch perspective rectification for efficient object detection

Sensor planning for automated and persistent object tracking with multiple cameras

Visual tracking via incremental Log-Euclidean Riemannian subspace learning

Increasing the density of Active Appearance Models

3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers

A recursive filter for linear systems on Riemannian manifolds

Markerless motion capture of man-machine interaction

Learning on lie groups for invariant detection and tracking

Information-theoretic active scene exploration

Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment

Local minima free Parameterized Appearance Models

Super-resolution from image sequence under influence of hot-air optical turbulence

Calibration of an Articulated Camera System

Recognizing human actions using multiple features

3D-2D spatiotemporal registration for sports motion analysis

Accurate eye center location and tracking using isophote curvature

Real-time pose estimation of articulated objects using low-level motion

Measuring camera translation by the dominant apical angle

Fluid motion estimation method based on physical properties of waves

Finding people in archive films through tracking

Discriminative learning of visual words for 3D human pose estimation

Modeling and generating complex motion blur for real-time tracking

Local grouping for optical flow

Motion blur identification from image gradients

Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration

Homography based multiple camera detection and tracking of people in a dense crowd

Adaptive and constrained algorithms for inverse compositional Active Appearance Model fitting

An integrated background model for video surveillance based on primal sketch and 3D scene geometry

Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking

A Loopy Belief Propagation approach for robust background estimation

Layered graphical models for tracking partially-occluded objects

A linear approach to motion estimation using generalized camera models

The Kneed Walker for human pose tracking

Extracting a fluid dynamic texture and the background from video

Fast track matching and event detection

Tracking rotating fluids in realtime using snapshots

Granularity and elasticity adaptation in visual tracking

Real time object tracking based on dynamic feature grouping with background subtraction

Learning the viewpoint manifold for action recognition

Optical flow estimation using Fourier Mellin Transform

Moving shape dynamics: A signal processing perspective

A theoretical analysis of linear and multi-linear models of image appearance

Boosting adaptive linear weak classifiers for online learning and tracking

Discriminative human action segmentation and recognition using semi-Markov model

Drift-free tracking of rigid and articulated objects

Learning stick-figure models using nonparametric Bayesian priors over trees

Distributed data association and filtering for multiple target tracking

Modeling complex luminance variations for target tracking

Optical flow estimation with uncertainties through dynamic MRFs

Boosted deformable model for human body alignment

Enforcing non-positive weights for stable support vector tracking

Meshless deformable models for LV motion analysis

3-D Tracking of shoes for Virtual Mirror applications

On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery

Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects

Privacy preserving crowd monitoring: Counting people without people models or tracking

Fuzzy chamfer distance and its probabilistic formulation for visual tracking

On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation

Face tracking and recognition with visual constraints in real-world videos

Least squares congealing for unsupervised alignment of images

A hybrid camera for motion deblurring and depth map super-resolution

Visual tracking with histograms and articulating blocks

Background subtraction in highly dynamic scenes

A rank constrained continuous formulation of multi-frame multi-target tracking problem

Fast algorithms for large scale conditional 3D prediction

Linear motion estimation for systems of articulated planes

Physical simulation for probabilistic motion tracking

A mobile vision system for robust multi-person tracking

Motion from blur

People-tracking-by-detection and people-detection-by-tracking

Global data association for multi-object tracking using network flows

Epitomic location recognition

Beyond sliding windows: Object localization by efficient subwindow search

Closing the loop in scene interpretation

A conditional random field for automatic photo editing

Transductive object cutout

Simultaneous learning of a discriminative projection and prototypes for Nearest-Neighbor classification

Margin-based discriminant dimensionality reduction for visual recognition

A mixed generative-discriminative framework for pedestrian classification

Learning coupled conditional random field for image decomposition with application on object categorization

Regularizing 3D medial axis using medial scaffold transforms

From appearance to context-based recognition: Dense labeling in small images

Exploiting side information in locality preserving projection

A discriminatively trained, multiscale, deformable part model

In defense of Nearest-Neighbor based image classification

Enhanced biologically inspired model

A similarity measure between unordered vector sets with application to image categorization

Loose shape model for discriminative learning of object categories

Scene understanding with discriminative structured prediction

Automatic face naming with caption-based supervision

Learning-based face hallucination in DCT domain

Automatic symmetry plane estimation of bilateral objects in point clouds

Correspondences between parts of shapes with particle filters

Context-dependent kernel design for object matching and recognition

Matching vehicles under large pose transformations using approximate 3D models and piecewise MRF model

Estimating age, gender, and identity using first name priors

Local tensor descriptor from micro-deformation analysis

Visual Synset: Towards a higher-level visual representation

ANSIG—An analytic signature for permutation-invariant two-dimensional shape representation

Adaptive and compact shape descriptor by progressive feature combination and selection with boosting

Viewpoint-independent object class detection using 3D Feature Maps

Unsupervised feature selection via distributed coding for multi-view object recognition

Dynamic visual category learning

Randomized trees for human pose detection

Combining brain computer interfaces with vision for object categorization

Relaxed matching kernels for robust image comparison

Unsupervised learning of visual taxonomies

Filtering Internet image search results towards keyword based category recognition

Unsupervised discovery of visual object class hierarchies

Improving local learning for object categorization by exploring the effects of ranking

An experimental study of employing visual appearance as a phenotype

Manifold learning using robust Graph Laplacian for interactive image search

Connected Segmentation Tree — A joint representation of region layout and hierarchy

Where am I: Place instance and category recognition using spatial PACT

Action recognition with motion-appearance vocabulary forest

Semi-supervised boosting using visual similarity learning

Classification using intersection kernel support vector machines is efficient

Looking around the backyard helps to recognize faces and digits

Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization

Small codes and large image databases for recognition

A robust identification approach to gait recognition

Lost in quantization: Improving particular object retrieval in large scale image databases

Fast kernel learning for spatial pyramid matching

Transfer learning for image classification with sparse prototype representations

Optimised KD-trees for fast image descriptor matching

An importance sampling approach to learning structural representations of shape

Simultaneous image transformation and sparse representation recovery

Kernel integral images: A framework for fast non-uniform filtering

The patch transform and its applications to image editing

Visibility in bad weather from a single image

A robust descriptor based on Weber’s Law

Boosting ordinal features for accurate and fast iris recognition

Robust 3D face recognition in uncontrolled environments

Image super-resolution as sparse representation of raw image patches

Radiometric calibration with illumination change for outdoor scene analysis

Image decomposition into structure and texture subcomponents with multifrequency modulation constraints

Radiometric calibration using temporal irradiance mixtures

Light-invariant fitting of active appearance models

Discriminative learned dictionaries for local image analysis

Demosaicing by smoothing along 1D features

Histogram-based search: A comparative study

Estimating camera response functions using probabilistic intensity similarity

Photometric stereo with non-parametric and spatially-varying reflectance

Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model

Evaluation of color descriptors for object and scene recognition

Image super-resolution using gradient profile prior

Intrinsic image decomposition with non-local texture cues

Automatic registration of aerial imagery with untextured 3D LiDAR models

Approximate earth mover’s distance in linear time

Texture classification with a dictionary of basic image features

Color constancy beyond bags of pixels

Non-negative graph embedding

Dimensionality reduction by unsupervised regression

Directional independent component analysis with tensor representation

Order consistent change detection via fast statistical significance testing

The Logistic Random Field — A convenient graphical model for learning parameters for MRF-based labeling

Large-scale manifold learning

Variable baseline/resolution stereo

Global stereo reconstruction under second order smoothness priors

A fast local descriptor for dense matching

Fast and robust numerical solutions to minimal problems for cameras with radial distortion

Spectrally optimal factorization of incomplete matrices

Simple calibration of non-overlapping cameras with a mirror

Classification and evaluation of cost aggregation methods for stereo correspondence

Skeletal graphs for efficient structure from motion

Re-thinking non-rigid structure from motion

Motion estimation for multi-camera systems using global optimization

Accurate camera calibration from multi-view stereo and bundle adjustment

Silhouette-based camera calibration from sparse views under circular motion

Dense 3D reconstruction from specularity consistency

Edge descriptors for robust wide-baseline correspondence

Dense specular shape from multiple specular flows

A three-point minimal solution for panoramic stitching with lens distortion

Robust motion estimation and structure recovery from endoscopic image sequences with an Adaptive Scale Kernel Consensus estimator

Image selection for improved Multi-View Stereo

Robust unambiguous parametrization of the essential manifold

Calibration and rectification for reflection stereo

Stereo reconstruction with mixed pixels using adaptive over-segmentation

Evaluation of constructable match cost measures for stereo correspondence using cluster ranking

Off-axis aperture camera: 3D shape reconstruction and image restoration

Coarse-to-fine low-rank structure-from-motion

Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences

Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry

Illumination and camera invariant stereo matching

Inverse-polar ray projection for recovering projective transformations

Learning for stereo vision using the structured support vector machine

Reconstructing non-stationary articulated objects in monocular video using silhouette information

Video falsifying by motion interpolation and inpainting

Dynamic scene shape reconstruction using a single structured light pattern

Simultaneous super-resolution and 3D video using graph-cuts

Stereoscopic inpainting: Joint color and depth completion from stereo images

Retinal image registration from 2D to 3D

On benchmarking camera calibration and multi-view stereo for high resolution imagery

What can missing correspondences tell us about 3D structure and motion?

A factorization approach to structure from motion with shape priors

Photogeometric structured light: A self-calibrating and multi-viewpoint framework for accurate 3D modeling

Minimal solutions for generic imaging models

Real-time global localization with a pre-built visual landmark database

Photometric stereo with coherent outlier handling and confidence estimation

Fast algorithms for L∞ problems in multiview geometry

Robust null space representation and sampling for view-invariant motion trajectory analysis

Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform

View and scale invariant action recognition using multiview shape-flow models

Facial expression recognition using encoded dynamic features

Trajectory analysis and semantic region modeling using a nonparametric Bayesian model

Manifold-Manifold Distance with application to face recognition based on image set

Near duplicate image identification with patially Aligned Pyramid Matching

Pose primitive based human action recognition in videos or still images

Correspondence-free multi-camera activity analysis and scene modeling

Learning human actions via information maximization

Learning human motion models from unsegmented videos

Unsupervised learning of human perspective context using ME-DT for efficient human detection in surveillance

Recognizing primitive interactions by exploring actor-object states

Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition

Simultaneous clustering and tracking unknown number of objects

Pan, zoom, scan — Time-coherent, trained automatic video cropping

Action snippets: How many frames does human action recognition require?

Action recognition using exemplar-based embedding

Human action recognition using Local Spatio-Temporal Discriminant Embedding

Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision

Macro-cuboïd based probabilistic matching for lip-reading digits

Action recognition by learning mid-level motion features

Tensor reduction error analysis — Applications to video compression and classification

Learning 4D action feature models for arbitrary view action recognition

Detection with multi-exit asymmetric boosting

Multiplicative kernels: Object detection, segmentation and pose estimation

Simultaneous data volume reconstruction and pose estimation from slice samples

Efficient subdivision-based image and volume warping

Volumetric reconstruction from multi-energy single-view radiography

Probabilistic image registration and anomaly detection by nonlinear warping

Global image registration based on learning the prior appearance model

Probabilistic multi-tensor estimation using the Tensor Distribution Function

Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels

Robust statistics on Riemannian manifolds via the geometric median

Adaptive region intensity based rigid ultrasound and CT image registration

Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection

Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses

FusionFlow: Discrete-continuous optimization for optical flow estimation

Model-based hand tracking with texture, shading and self-occlusions

Face alignment via boosted ranking model

Learning patch correspondences for improved viewpoint invariant face recognition

View-invariant action recognition using fundamental ratios

Learning realistic human actions from movies

A polynomial-time bound for matching and registration with outliers

Dense correspondence finding for parametrization-free animation reconstruction from video

Matching images under unstable segmentations

Adaptive parametrization of multivariate B-splines for image registration

Fusion of time-of-flight depth and stereo for high accuracy depth maps

Recursive photometric stereo when multiple shadows and highlights are present

On controlling light transport in poor visibility environments

A two-frame theory of motion, lighting and shape

Bayesian color constancy revisited

An LED-only BRDF measurement device

Characterizing the shadow space of camera-light pairs

Overcoming visual reverberations

3D shape reconstruction of Mooney faces

Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines

Efficient photometric stereo on glossy surfaces with wide specular lobes

A NURBS-based spectral reflectance descriptor with applications in computer vision and pattern recognition

Shading models for illumination and reflectance invariant shape detectors

Recovering shape characteristics on near-flat specular surfaces

Efficient object shape recovery via slicing planes

3D surface models by geometric constraints propagation

Toward automatic 3D modeling of scenes using a generic camera model

Building reconstruction from a single DEM

Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera

Practical camera auto-calibration based on object appearance and motion for traffic scene visual surveillance

Joint data alignment up to (lossy) transformations

High quality mesostructure acquisition using specularities

Image based rendering for motion compensation in angiographic roadmapping

IM2GPS: estimating geographic information from a single image

Sketching in the air: A vision-based system for 3D object design

Multi-object shape estimation and tracking from silhouette cues

Max Margin AND/OR Graph learning for parsing the human body

Automatic calibration of a single-projector catadioptric display system

SMRFI: Shape matching via registration of vector-valued feature images

From skeletons to bone graphs: Medial abstraction for object recognition

Automatic non-rigid registration of 3D dynamic data for facial expression synthesis and transfer

Accurate multi-view reconstruction using robust binocular stereo and surface meshing

A general solution to the P4P problem for camera with unknown focal length

Particle filtering for registration of 2D and 3D point sets with stochastic dynamics

View-invariant recognition of body pose from space-time templates

Conjugate rotation: Parameterization and estimation from an affine feature correspondence

Verifying global minima for L2 minimization problems

Scale invariance without scale selection

Object categorization using co-occurrence, location and appearance

Discriminative local binary patterns for human detection in personal album

Taylor expansion based classifier adaptation: Application to person detection

Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detection

Decomposition, discovery and detection of visual categories using topic models

Misalignment-robust face recognition

3D face tracking and expression inference from a 2D sequence using manifold learning

Action recognition using ballistic dynamics

Real-time face pose estimation from single range images

Enforcing convexity for improved alignment with constrained local models

Hallucinating 3D facial shapes

Simultaneous super-resolution and feature extraction for recognition of low-resolution faces

Face illumination normalization on large and small scale features

Precise detailed detection of faces and facial features

Recognising faces in unseen modes: A tensor based approach

On the use of independent tasks for face recognition

Cost-sensitive face recognition

Pair-activity classification by bi-trajectories analysis

Who killed the directed model?

Object image retrieval by exploiting online knowledge resources

A framework for reducing ink-bleed in old documents

Nonlinear image representation using divisive normalization

Utilizing semantic word similarity measures for video retrieval

Application and evaluation of spatiotemporal enhancement of live aerial video using temporally local mosaics

Performance evaluation of state-of-the-art discrete symmetry detection algorithms

Enhancing photographs with Near Infra-Red images

Vital sign estimation from passive thermal video

What are the high-level concepts with small semantic gaps?

Extrinsic and depth calibration of ToF-cameras

Localization accuracy of region detectors

Robust dual motion deblurring

Rotation symmetry group detection via frequency analysis of frieze-expansions

Accurate and robust registration for in-hand modeling

Sensing increased image resolution using aperture masks

PSF estimation using sharp edge prediction

Non-refractive modulators for encoding and capturing scene appearance and depth

Modulated phase-shifting for 3D scanning

Using circular statistics for trajectory shape analysis

Shape L’Âne rouge: Sliding wavelets for indexing and retrieval

One step beyond histograms: Image representation using Markov stationary features

Graph commute times for image representation

Fast image search for learned metrics

Summarizing visual data using bidirectional similarity

Constant time O(1) bilateral filtering

Flat refractive geometry

Human-assisted motion annotation

Globally optimal bilinear programming for computer vision applications

2007 IEEE Conference on Computer Vision and Pattern Recognition

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A three-point minimal solution for panoramic stitching with lens distortion

Content Provider	IEEE Xplore Digital Library
Author	Hailin Jin
Copyright Year	2008
Description	Author affiliation: Adv. Technol. Labs., Adobe Syst. Inc., San Jose, CA (Hailin Jin)
Abstract	We present a minimal solution for aligning two images taken by a rotating camera from point correspondences. The solution particularly addresses the case where there is lens distortion in the images. We assume to know the two camera centers but not the focal lengths and allow the latter to vary. Our solution uses a minimal number (three) of point correspondences and is well suited to be used in a hypothesis testing framework. It does not suffer from numerical instabilities observed in other algebraic minimal solvers and is also efficient. We validate our solution in multi-image panoramic stitching on real images with lens distortion.
Starting Page	1
Ending Page	8
File Size	5098787
Page Count	8
File Format	PDF
ISBN	9781424422425
ISSN	10636919
DOI	10.1109/CVPR.2008.4587686
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lenses Nonlinear distortion Cameras Testing Geometry Layout Feature extraction Robustness Convergence
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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