NDLI: Feature Matching with Affine-Function Transformation Models

Content Provider	IEEE Xplore Digital Library
Author	Hongsheng Li Xiaolei Huang Junzhou Huang Shaoting Zhang
Copyright Year	1979
Abstract	Feature matching is an important problem and has extensive uses in computer vision. However, existing feature matching methods support either a specific or a small set of transformation models. In this paper, we propose a unified feature matching framework which supports a large family of transformation models. We call the family of transformation models the affine-function family, in which all transformations can be expressed by affine functions with convex constraints. In this framework, the goal is to recover transformation parameters for every feature point in a template point set to calculate their optimal matching positions in an input image. Given pairwise feature dissimilarity values between all points in the template set and the input image, we create a convex dissimilarity function for each template point. Composition of such convex functions with any transformation model in the affine-function family is shown to have an equivalent convex optimization form that can be optimized efficiently. Four example transformation models in the affine-function family are introduced to show the flexibility of our proposed framework. Our framework achieves 0.0 percent matching errors for both CMU House and Hotel sequences following the experimental setup in [6].
Sponsorship	IEEE Computer Society
Starting Page	2407
Ending Page	2422
Page Count	16
File Size	2594562
File Format	PDF
ISSN	01628828
Volume Number	36
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Convex functions Computer vision Pattern matching Dynamic programming Feature extraction convex composition Feature matching object matching convex optimization
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Object Matching Using a Locally Affine Invariant and Linear Programming Techniques

A global solution to sparse correspondence problems

A Dynamic Programming Approach to Sequential Pattern Recognition

The distinctiveness of a curve in a parameterized neighborhood: extraction and applications

Scale and Rotation Invariant Matching Using Linearly Augmented Trees

Contextualizing Object Detection and Classification

Multiple paths extraction in images using a constrained expanded trellis

Flexible Spatial Configuration of Local Image Features

Robust affine structure matching for 3D object recognition

Feature Matching with Affine-Function Transformation Models

Similar Documents

Object Matching Using a Locally Affine Invariant and Linear Programming Techniques

A global solution to sparse correspondence problems

A Dynamic Programming Approach to Sequential Pattern Recognition

The distinctiveness of a curve in a parameterized neighborhood: extraction and applications

Scale and Rotation Invariant Matching Using Linearly Augmented Trees

Contextualizing Object Detection and Classification

Multiple paths extraction in images using a constrained expanded trellis

Flexible Spatial Configuration of Local Image Features

Robust affine structure matching for 3D object recognition

Feature Matching with Affine-Function Transformation Models