NDLI: Realtime and Robust Hand Tracking from Depth

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

2014 IEEE Conference on Computer Vision and Pattern Recognition

Table of contents

Message from the General and Program Chairs

Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction

Predicting Matchability

Trinocular Geometry Revisited

Critical Configurations for Radial Distortion Self-Calibration

Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion

Reconstructing PASCAL VOC

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation

Weakly Supervised Multiclass Video Segmentation

Video Motion Segmentation Using New Adaptive Manifold Denoising Model

Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning

Neural Decision Forests for Semantic Image Labelling

Pulling Things out of Perspective

Event Detection Using Multi-level Relevance Labels and Multiple Features

Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations

Human vs. Computer in Scene and Object Recognition

Semi-supervised Spectral Clustering for Image Set Classification

Look at the Driver, Look at the Road: No Distraction! No Accident!

Measuring Distance between Unordered Sets of Different Sizes

Learning Mid-level Filters for Person Re-identification

DeepReID: Deep Filter Pairing Neural Network for Person Re-identification

Lacunarity Analysis on Image Patterns for Texture Classification

Segmentation-Aware Deformable Part Models

From Categories to Individuals in Real Time -- A Unified Boosting Approach

NMF-KNN: Image Annotation Using Weighted Multi-view Non-negative Matrix Factorization

Fine-Grained Visual Comparisons with Local Learning

Inferring Analogous Attributes

Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes

Visual Persuasion: Inferring Communicative Intents of Images

Histograms of Pattern Sets for Image Classification and Object Recognition

Incorporating Scene Context and Object Layout into Appearance Modeling

Co-segmentation of Textured 3D Shapes with Sparse Annotations

How to Evaluate Foreground Maps

MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation

SCAMS: Simultaneous Clustering and Model Selection

The Shape-Time Random Field for Semantic Video Labeling

The Secrets of Salient Object Segmentation

Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks

An Exemplar-Based CRF for Multi-instance Object Segmentation

Object Partitioning Using Local Convexity

Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior

Max-Margin Boltzmann Machines for Object Segmentation

Multiscale Combinatorial Grouping

RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions

Efficient Hierarchical Graph-Based Segmentation of RGBD Videos

Point Matching in the Presence of Outliers in Both Point Sets: A Concave Optimization Approach

Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data

Joint Motion Segmentation and Background Estimation in Dynamic Scenes

SeamSeg: Video Object Segmentation Using Patch Seams

Laplacian Coordinates for Seeded Image Segmentation

Error-Tolerant Scribbles Based Interactive Image Segmentation

Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI

Large Scale Multi-view Stereopsis Evaluation

Timing-Based Local Descriptor for Dynamic Surfaces

A Minimal Solution to the Generalized Pose-and-Scale Problem

A General and Simple Method for Camera Pose and Focal Length Determination

Partial Symmetry in Polynomial Systems and Its Applications in Computer Vision

Efficient Computation of Relative Pose for Multi-camera Systems

Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras

Minimal Scene Descriptions from Structure from Motion Models

Fast, Approximate Piecewise-Planar Modeling Based on Sparse Structure-from-Motion and Superpixels

On Projective Reconstruction in Arbitrary Dimensions

Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction

Efficient Pruning LMI Conditions for Branch-and-Prune Rank and Chirality-Constrained Estimation of the Dual Absolute Quadric

Very Fast Solution to the PnP Problem with Algebraic Outlier Rejection

Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains

Discriminative Feature-to-Point Matching in Image-Based Localization

Two-View Camera Housing Parameters Calibration for Multi-layer Flat Refractive Interface

Accurate Localization and Pose Estimation for Large 3D Models

Relative Pose Estimation for a Multi-camera System with Known Vertical Direction

Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case

Covariance Trees for 2D and 3D Processing

Hierarchical Subquery Evaluation for Active Learning on a Graph

Anytime Recognition of Objects and Scenes

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group

Multi-view Super Vector for Action Recognition

Unsupervised Spectral Dual Assignment Clustering of Human Actions in Context

Parsing Videos of Actions with Segmental Grammars

Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition

Piecewise Planar and Compact Floorplan Reconstruction from Images

Data-Driven Flower Petal Modeling with Botany Priors

User-Specific Hand Modeling from Monocular Depth Sequences

Class Specific 3D Object Shape Priors Using Surface Normals

Frequency-Based 3D Reconstruction of Transparent and Specular Objects

Human Body Shape Estimation Using a Multi-resolution Manifold Forest

Quality Dynamic Human Body Modeling Using a Single Low-Cost Depth Camera

Single-View 3D Scene Parsing by Attributed Grammar

Separation of Line Drawings Based on Split Faces for 3D Object Reconstruction

When 3D Reconstruction Meets Ubiquitous RGB-D Images

Stable Template-Based Isometric 3D Reconstruction in All Imaging Conditions by Linear Least-Squares

Discrete-Continuous Depth Estimation from a Single Image

Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition

Seeing What You're Told: Sentence-Guided Activity Recognition in Video

Action Localization with Tubelets from Motion

Actionness Ranking with Lattice Conditional Ordinal Random Fields

Multiple Granularity Analysis for Fine-Grained Action Detection

Human Action Recognition across Datasets by Foreground-Weighted Histogram Decomposition

Range-Sample Depth Feature for Action Recognition

The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities

Complex Activity Recognition Using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video

Incremental Activity Modeling and Recognition in Streaming Videos

Super Normal Vector for Activity Recognition Using Depth Sequences

Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities

A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions

StoryGraphs: Visualizing Character Interactions as a Timeline

Learning Receptive Fields for Pooling from Tensors of Feature Response

Towards Unified Human Parsing and Pose Estimation

Ask the Image: Supervised Pooling to Preserve Feature Locality

Similarity Comparisons for Interactive Fine-Grained Categorization

Continuous Manifold Based Adaptation for Evolving Visual Domains

Talking Heads: Detecting Humans and Recognizing Their Interactions

Salient Region Detection via High-Dimensional Color Transform

The Role of Context for Object Detection and Semantic Segmentation in the Wild

Switchable Deep Network for Pedestrian Detection

Compact Representation for Image Classification: To Choose or to Compress?

Capturing Long-Tail Distributions of Object Subcategories

Accurate Object Detection with Joint Classification-Regression Random Forests

Additive Quantization for Extreme Vector Compression

Product Sparse Coding

Informed Haar-Like Features Improve Pedestrian Detection

Image Reconstruction from Bag-of-Visual-Words

Beta Process Multiple Kernel Learning

Random Laplace Feature Maps for Semigroup Kernels on Histograms

Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification

Transitive Distance Clustering with K-Means Duality

Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction

Bregman Divergences for Infinite Dimensional Covariance Matrices

Optimizing Average Precision Using Weakly Supervised Data

Subspace Clustering for Sequential Data

Predicting Multiple Attributes via Relative Multi-task Learning

Learning Inhomogeneous FRAME Models for Object Patterns

Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters

Fantope Regularization in Metric Learning

Kernel-PCA Analysis of Surface Normals for Shape-from-Shading

Merging SVMs with Linear Discriminant Analysis: A Combined Model

Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning

Finding the Subspace Mean or Median to Fit Your Need

Adaptive Color Attributes for Real-Time Visual Tracking

Local Layering for Joint Motion Estimation and Occlusion Detection

Realtime and Robust Hand Tracking from Depth

Multi-output Learning for Camera Relocalization

MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction

Multi-object Tracking via Constrained Sequential Labeling

A Primal-Dual Algorithm for Higher-Order Multilabel Markov Random Fields

Energy Based Multi-model Fitting & Matching for 3D Reconstruction

Submodularization for Binary Pairwise Energies

Maximum Persistency in Energy Minimization

Partial Optimality by Pruning for MAP-Inference with General Graphical Models

Scene Labeling Using Beam Search under Mutex Constraints

Persistent Tracking for Wide Area Aerial Surveillance

Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation

Multi-forest Tracker: A Chameleon in Tracking

Rigid Motion Segmentation Using Randomized Voting

Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning

Pyramid-Based Visual Tracking Using Sparsity Represented Mean Transform

Tracklet Association with Online Target-Specific Metric Learning

An Online Learned Elementary Grouping Model for Multi-target Tracking

Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Three-Dimensional Motion Tracking

Partial Occlusion Handling for Visual Tracking via Robust Part Matching

Speeding Up Tracking by Ignoring Features

Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction

Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph

Bi-label Propagation for Generic Multiple Object Tracking

A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions

Occlusion Geodesics for Online Multi-object Tracking

Efficient Nonlinear Markov Models for Human Motion

A Compositional Model for Low-Dimensional Image Set Representation

A Principled Approach for Coarse-to-Fine MAP Inference

Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems

Multi-label Generic Cuts: Optimal Inference in Multi-label Multi-clique MRF-MAP Problems

Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization

Higher-Order Clique Reduction without Auxiliary Variables

Topic Modeling of Multimodal Data: An Autoregressive Approach

Model Transport: Towards Scalable Transfer Learning on Manifolds

Learning Fine-Grained Image Similarity with Deep Ranking

Attributed Graph Mining and Matching: An Attempt to Define and Extract Soft Attributed Patterns

Deep Fisher Kernels -- End to End Learning of the Fisher Kernel GMM Parameters

Transfer Joint Matching for Unsupervised Domain Adaptation

Recognizing RGB Images by Learning from RGB-D Data

Instance-Weighted Transfer Learning of Active Appearance Models

Scalable Multitask Representation Learning for Scene Classification

Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective

Constructing Robust Affinity Graphs for Spectral Clustering

A Fast and Robust Algorithm to Count Topologically Persistent Holes in Noisy Clouds

Co-localization in Real-World Images

Spectral Clustering with Jensen-Type Kernels and Their Multi-point Extensions

Fast and Robust Archetypal Analysis for Representation Learning

Photometric Bundle Adjustment for Dense Multi-view 3D Modeling

The Photometry of Intrinsic Images

High Resolution 3D Shape Texture from Multiple Videos

PatchMatch Based Joint View Selection and Depthmap Estimation

Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras

Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo

Probabilistic Labeling Cost for High-Accuracy Multi-view Reconstruction

Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces

A Procrustean Markov Process for Non-rigid Structure Recovery

Good Vibrations: A Modal Analysis Approach for Sequential Non-rigid Structure from Motion

Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving

On the Quotient Representation for the Essential Manifold

Efficient High-Resolution Stereo Matching Using Local Plane Sweeps

Cross-Scale Cost Aggregation for Stereo Matching

Asymmetrical Gauss Mixture Models for Point Sets Matching

Fast and Reliable Two-View Translation Estimation

Graph Cut Based Continuous Stereo Matching Using Locally Shared Labels

Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching

Decorrelating Semantic Visual Attributes by Resisting the Urge to Share

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Learning Scalable Discriminative Dictionary with Sample Relatedness

DeepPose: Human Pose Estimation via Deep Neural Networks

Iterated Second-Order Label Sensitive Pooling for 3D Human Pose Estimation

3D Pictorial Structures for Multiple Human Pose Estimation

Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification

Face Alignment at 3000 FPS via Regressing Local Binary Features

A Compact and Discriminative Face Track Descriptor

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Filter Forests for Learning Data-Dependent Convolutional Kernels

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

Large-Scale Video Classification with Convolutional Neural Networks

Convolutional Neural Networks for No-Reference Image Quality Assessment

Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization

Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition

Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders

Unified Face Analysis by Iterative Multi-output Random Forests

Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras

A Hierarchical Probabilistic Model for Facial Feature Detection

RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models

Non-parametric Bayesian Constrained Local Models

Facial Expression Recognition via a Boosted Deep Belief Network

Automatic Construction of Deformable Models In-the-Wild

Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation

Towards Multi-view and Partially-Occluded Face Alignment

Head Pose Estimation Based on Multivariate Label Distribution

Efficient Boosted Exemplar-Based Face Detection

Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild

Incremental Face Alignment in the Wild

One millisecond face alignment with an ensemble of regression trees

Discriminative Deep Metric Learning for Face Verification in the Wild

Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses

Deep Learning Face Representation from Predicting 10,000 Classes

Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model

3D-Aided Face Recognition Robust to Expression and Pose Variations

Learning Non-linear Reconstruction Models for Image Set Classification

Gesture Recognition Portfolios for Personalization

Sign Spotting Using Hierarchical Sequential Patterns with Temporal Intervals

Automatic Feature Learning for Robust Shadow Detection

Packing and Padding: Coupled Multi-index for Accurate Image Retrieval

Adaptive Object Retrieval with Kernel Reconstructive Hashing

Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval

Fast Supervised Hashing with Decision Trees for High-Dimensional Data

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

Associative Embeddings for Large-Scale Knowledge Transfer with Self-Assessment

Detecting Objects Using Deformation Dictionaries

Persistence-Based Structural Recognition

Inferring Unseen Views of People

Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds

Predicting Object Dynamics in Scenes

Enriching Visual Knowledge Bases via Object Discovery and Segmentation

Seeing the Arrow of Time

Hierarchical Feature Hashing for Fast Dimensionality Reduction

Modeling Image Patches with a Generic Dictionary of Mini-epitomes

Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition

In Search of Inliers: 3D Correspondence by Local and Global Voting

Collective Matrix Factorization Hashing for Multimodal Data

Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers

Locality in Generic Instance Search from One Example

Congruency-Based Reranking

Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search

Locally Linear Hashing for Extracting Non-linear Manifolds

Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation

Distance Encoded Product Quantization

Collaborative Hashing

Scalable Object Detection Using Deep Neural Networks

Multiview Shape and Reflectance from Natural Illumination

Reflectance and Fluorescent Spectra Recovery Based on Fluorescent Chromaticity Invariance under Varying Illumination

What Camera Motion Reveals about Shape with Unknown BRDF

Photometric Stereo Using Constrained Bivariate Regression for General Isotropic Surfaces

Robust Separation of Reflection from Multiple Images

Surface-from-Gradients: An Approach Based on Discrete Geometry Processing

Socially-Aware Large-Scale Crowd Forecasting

L0 Regularized Stationary Time Estimation for Crowd Group Analysis

Scene-Independent Group Profiling in Crowd

Temporal Sequence Modeling for Video Event Detection

Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts

Video Event Detection by Inferring Temporal Instance Labels

Backscatter Compensated Photometric Stereo with 3 Sources

Calibrating a Non-isotropic Near Point Light Source Using a Plane

A New Perspective on Material Classification and Ink Identification

High Quality Photometric Reconstruction Using a Depth Camera

Robust Surface Reconstruction via Triple Sparsity

Scattering Parameters and Surface Normals from Homogeneous Translucent Materials Using Photometric Stereo

Better Shading for Better Shape Recovery

Stable and Informative Spectral Signatures for Graph Matching

Deformable Object Matching via Deformation Decomposition Based 2D Label MRF

Locally Optimized Product Quantization for Approximate Nearest Neighbor Search

Multi-source Deep Learning for Human Pose Estimation

Posebits for Monocular Human Pose Estimation

Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera

Mixing Body-Part Sequences for Human Pose Estimation

Robust Estimation of 3D Human Poses from a Single Image

Fisher and VLAD with FLAIR

Immediate, Scalable Object Category Detection

Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier

Parsing Occluded People

Multi-fold MIL Training for Weakly Supervised Object Localization

Generating Object Segmentation Proposals Using Global and Local Search

A Novel Chamfer Template Matching Method Using Variational Mean Field

Confidence-Rated Multiple Instance Boosting for Object Detection

COSTA: Co-Occurrence Statistics for Zero-Shot Classification

Analysis by Synthesis: 3D Object Recognition by Object Reconstruction

Submodular Object Recognition

Multimodal Learning in Loosely-Organized Web Images

Generalized Max Pooling

Domain Adaptation on the Statistical Manifold

Nonparametric Part Transfer for Fine-Grained Recognition

The Fastest Deformable Part Model for Object Detection

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models

Quasi Real-Time Summarization for Consumer Videos

Gait Recognition under Speed Transition

Video Classification Using Semantic Concept Co-occurrences

Temporal Segmentation of Egocentric Videos

Efficient Action Localization with Approximately Normalized Fisher Vectors

Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths

A Hierarchical Context Model for Event Recognition in Surveillance Video

DISCOVER: Discovering Important Segments for Classification of Video Events and Recounting

Towards Good Practices for Action Video Encoding

Improving Semantic Concept Detection through the Dictionary of Visually-Distinct Elements

Efficient Feature Extraction, Encoding, and Classification for Action Recognition

3D Pose from Motion for Cross-View Action Recognition via Non-linear Circulant Temporal Encoding

Human Action Recognition Based on Context-Dependent Graph Kernels

Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras

DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition

A Cause and Effect Analysis of Motion Trajectories for Modeling Actions

From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity

Cross-View Action Modeling, Learning, and Recognition

Visual Semantic Search: Retrieving Videos via Complex Textual Queries

Zero-Shot Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts

Dual Linear Regression Based Classification for Face Cluster Recognition

Bags of Spacetime Energies for Dynamic Scene Recognition

Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking

Multiscale Centerline Detection by Learning a Scale-Space Distance Transform

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images

Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis

Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields

Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning

Scale-Space Processing Using Polynomial Representations

Single Image Layer Separation Using Relative Smoothness

Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity

Segmentation-Free Dynamic Scene Deblurring

Shrinkage Fields for Effective Image Restoration

Camouflaging an Object from Many Viewpoints

Learning Optimal Seeds for Diffusion-Based Salient Object Detection

Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images

Saliency Detection on Light Field

Saliency Optimization from Robust Background Detection

A Reverse Hierarchy Model for Predicting Eye Fixations

100+ Times Faster Weighted Median Filter (WMF)

Edge-Aware Gradient Domain Optimization Framework for Image Filtering by Local Propagation

Super-resolving Noisy Images

Sparse Dictionary Learning for Edit Propagation of High-Resolution Images

Weighted Nuclear Norm Minimization with Application to Image Denoising

Using Projection Kurtosis Concentration of Natural Images for Blind Noise Covariance Matrix Estimation

Blind Image Quality Assessment Using Semi-supervised Rectifier Networks

Separable Kernel for Image Deblurring

Joint Depth Estimation and Camera Shake Removal from Single Blurry Image

Deblurring Text Images via L0-Regularized Intensity and Gradient Prior

Total Variation Blind Deconvolution: The Devil Is in the Details

Single Image Super-resolution Using Deformable Patches

Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement

CID: Combined Image Denoising in Spatial and Frequency Domains Using Web Images

Multipoint Filtering with Local Polynomial Approximation and Range Guidance

Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising

Robust 3D Features for Matching between Distorted Range Scans Captured by Moving Systems

Discriminative Blur Detection Features

Rectification, and Segmentation of Coplanar Repeated Patterns

Mirror Symmetry Histograms for Capturing Geometric Properties in Images

A Learning-to-Rank Approach for Image Color Enhancement

Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing

Quality Assessment for Comparing Image Enhancement Algorithms

Shadow Removal from Single RGB-D Images

Manifold Based Dynamic Texture Synthesis from Extremely Few Samples

The Synthesizability of Texture Examples

Reconstructing Evolving Tree Structures in Time Lapse Sequences

Total-Variation Minimization on Unstructured Volumetric Mesh: Biophysical Applications on Reconstruction of 3D Ischemic Myocardium

Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI

Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation

Patch-Based Evaluation of Image Segmentation

Evaluation of Scan-Line Optimization for 3D Medical Image Registration

Classification of Histology Sections via Multispectral Convolutional Sparse Coding

Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification

A Bayesian Framework for the Local Configuration of Retinal Junctions

Learning-Based Atlas Selection for Multiple-Atlas Segmentation

Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference

FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems

Learning to Group Objects

Unsupervised Multi-class Joint Image Segmentation

Semantic Object Selection

Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation

Object-Based Multiple Foreground Video Co-segmentation

Parsing World's Skylines Using Shape-Constrained MRFs

Clothing Co-parsing by Joint Image Segmentation and Labeling

Tell Me What You See and I Will Show You Where It Is

Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision

Efficient Structured Parsing of Facades Using Dynamic Programming

Dense Semantic Image Segmentation with Objects and Attributes

Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors

Fourier Analysis on Transient Imaging with a Multifrequency Time-of-Flight Camera

Transparent Object Reconstruction via Coded Transport of Intensity

3D Shape and Indirect Appearance by Structured Light Transport

Shape-Preserving Half-Projective Warps for Image Stitching

Parallax-Tolerant Image Stitching

Learning Everything about Anything: Webly-Supervised Visual Concept Learning

Dirichlet-Based Histogram Feature Transform for Image Classification

BING: Binarized Normed Gradients for Objectness Estimation at 300fps

Context Driven Scene Parsing with Attention to Rare Classes

Patch to the Future: Unsupervised Visual Prediction

Triangulation Embedding and Democratic Aggregation for Image Search

Low-Cost Compressive Sensing for Color Video and Depth

Aliasing Detection and Reduction in Plenoptic Imaging

Illumination-Aware Age Progression

Color Transfer Using Probabilistic Moving Least Squares

Image Pre-compensation: Balancing Contrast and Ringing

Time-Mapping Using Space-Time Saliency

Gyro-Based Multi-image Deconvolution for Removing Handshake Blur

Similarity-Aware Patchwork Assembly for Depth Image Super-resolution

Deblurring Low-Light Images with Light Streaks

Depth Enhancement via Low-Rank Matrix Completion

Raw-to-Raw: Mapping between Image Sensor Color Responses

DAISY Filter Flow: A Generalized Discrete Approach to Dense Correspondences

Robust 3D Tracking with Descriptor Fields

Evolutionary Quasi-Random Search for Hand Articulations Tracking

Scalable 3D Tracking of Multiple Interacting Objects

Bayesian Active Appearance Models

Human Shape and Pose Tracking Using Keyframes

Better Feature Tracking through Subspace Constraints

Online Object Tracking, Learning, and Parsing with And-Or Graphs

Region-Based Particle Filter for Video Object Segmentation

Visual Tracking via Probability Continuous Outlier Model

Visual Tracking Using Pertinent Patch Selection and Masking

Interval Tracker: Tracking by Interval Analysis

Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking

Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)

Multi-target Tracking with Motion Context in Tensor Power Iteration

SphereFlow: 6 DoF Scene Flow from RGB-D Pairs

Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow

Learning an Image-Based Motion Context for Multiple People Tracking

Semi-supervised Coupled Dictionary Learning for Person Re-identification

What Are You Talking About? Text-to-Image Coreference

Predicting Failures of Vision Systems

Three Guidelines of Online Learning for Large-Scale Visual Recognition

Using k-Poselets for Detecting People and Localizing Their Keypoints

Randomized Max-Margin Compositions for Visual Recognition

Large-Scale Visual Font Recognition

Describing Textures in the Wild

Relative Parts: Distinctive Parts for Learning Relative Attributes

Understanding Objects in Detail with Fine-Grained Attributes

Predicting User Annoyance Using Visual Attributes

Linear Ranking Analysis

Transformation Pursuit for Image Classification

Incremental Learning of NCM Forests for Large-Scale Image Classification

Object Classification with Adaptable Regions

Discriminative Ferns Ensemble for Hand Pose Recognition

Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects

2D Human Pose Estimation: New Benchmark and State of the Art Analysis

Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision

Active Annotation Translation

Looking Beyond the Visible Scene

Two-Class Weather Classification

Learning Important Spatial Pooling Regions for Scene Classification

Orientational Pyramid Matching for Recognizing Indoor Scenes

Multilabel Ranking with Inconsistent Rankers

Scene Parsing with Object Instances and Occlusion Ordering

A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform

Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models

A Mixture of Manhattan Frames: Beyond the Manhattan World

Local Regularity-Driven City-Scale Facade Detection from Aerial Images

Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture

FAUST: Dataset and Evaluation for 3D Mesh Registration

Optimizing over Radial Kernels on Compact Manifolds

Grassmann Averages for Scalable Robust PCA

Robust Subspace Segmentation with Block-Diagonal Prior

Unsupervised One-Class Learning for Automatic Outlier Removal

Smooth Representation Clustering

Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD

Second-Order Shape Optimization for Geometric Inverse Problems in Vision

L0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence

Adaptive Partial Differential Equation Learning for Visual Saliency Detection

Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices

Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos

Active Flattening of Curved Document Images via Two Structured Beams

Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models

Bayesian View Synthesis and Image-Based Rendering Principles

Fast MRF Optimization with Application to Depth Reconstruction

Exploiting Shading Cues in Kinect IR Images for Geometry Refinement

Fast Rotation Search with Stereographic Projections for 3D Registration

Local Readjustment for High-Resolution 3D Reconstruction

Turning Mobile Phones into 3D Scanners

T-Linkage: A Continuous Relaxation of J-Linkage for Multi-model Fitting

Motion-Depth: RGB-D Depth Map Enhancement with Motion and Depth in Complement

Generalized Pupil-centric Imaging and Analytical Calibration for a Non-frontal Camera

Geometric Urban Geo-localization

3D Reconstruction from Accidental Motion

Real-Time Model-Based Articulated Object Pose Detection and Tracking with Variable Rigidity Constraints

Occluding Contours for Multi-view Stereo

Aerial Reconstructions via Probabilistic Data Fusion

3D Modeling from Wide Baseline Range Scans Using Contour Coherence

Ground Plane Estimation Using a Hidden Markov Model

Orientation Robust Text Line Detection in Natural Images

Strokelets: A Learned Multi-scale Representation for Scene Text Recognition

Region-Based Discriminative Feature Pooling for Scene Text Recognition

Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models

Pseudoconvex Proximal Splitting for L-infinity Problems in Multiview Geometry

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Realtime and Robust Hand Tracking from Depth

Content Provider	IEEE Xplore Digital Library
Author	Chen Qian Xiao Sun Yichen Wei Xiaoou Tang Jian Sun
Copyright Year	2014
Abstract	We present a realtime hand tracking system using a depth sensor. It tracks a fully articulated hand under large viewpoints in realtime (25 FPS on a desktop without using a GPU) and with high accuracy (error below 10 mm). To our knowledge, it is the first system that achieves such robustness, accuracy, and speed simultaneously, as verified on challenging real data. Our system is made of several novel techniques. We model a hand simply using a number of spheres and define a fast cost function. Those are critical for realtime performance. We propose a hybrid method that combines gradient based and stochastic optimization methods to achieve fast convergence and good accuracy. We present new finger detection and hand initialization methods that greatly enhance the robustness of tracking.
Starting Page	1106
Ending Page	1113
File Size	947130
Page Count	8
File Format	PDF
ISBN	9781479951185
ISSN	10636919
DOI	10.1109/CVPR.2014.145
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Cost function Thumb Accuracy Tracking Iterative closest point algorithm PSO hand tracking ICP
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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