NDLI: Deformation invariant image matching

Content Provider	IEEE Xplore Digital Library
Author	Haibin Ling Jacobs, D.W.
Copyright Year	2005
Description	Author affiliation: Comput. Sci. Dept., Maryland Univ., College Park, MD (Haibin Ling; Jacobs, D.W.)
Abstract	We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D space, with intensity weighted relative to distance in x-y. We show that as this weight increases, geodesic distances on the embedded surface are less affected by image deformations. In the limit, distances are deformation invariant. We use geodesic sampling to get neighborhood samples for interest points, and then use a geodesic-intensity histogram (GIH) as a deformation invariant local descriptor. In addition to its invariance, the new descriptor automatically finds its support region. This means it can safely gather information from a large neighborhood to improve discriminability. Furthermore, we propose a matching method for this descriptor that is invariant to affine lighting changes. We have tested this new descriptor on interest point matching for two data sets, one with synthetic deformation and lighting change, and another with real non-affine deformations. Our method shows promising matching results compared to several other approaches
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Pattern Anal. and Machine Intelligence
Starting Page	1466
Ending Page	1473
File Size	708959
Page Count	8
File Format	PDF
ISBN	076952334X
ISSN	15505499
DOI	10.1109/ICCV.2005.67
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image matching Image sampling Histograms Surface treatment Jacobian matrices Automation Computer science Educational institutions Testing Object recognition
Content Type	Text
Resource Type	Article
Subject	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 recognition by affine invariant matching

View invariant object recognition

Deformation invariant attribute vector for 3D image registration: method and validation

Efficiently Determining Silhouette Consistency

Non-negative lighting and specular object recognition

Using Stereo Matching for 2-D Face Recognition Across Pose

Efficient Indexing For Articulation Invariant Shape Matching And Retrieval

Using Multiple Patches for 3D Object Recognition

Sparse representation using nonnegative curds and whey

Deformation invariant image matching

Similar Documents

Object recognition by affine invariant matching

View invariant object recognition

Deformation invariant attribute vector for 3D image registration: method and validation

Efficiently Determining Silhouette Consistency

Non-negative lighting and specular object recognition

Using Stereo Matching for 2-D Face Recognition Across Pose

Efficient Indexing For Articulation Invariant Shape Matching And Retrieval

Using Multiple Patches for 3D Object Recognition

Sparse representation using nonnegative curds and whey

Deformation invariant image matching