NDLI: Integrating Algebraic Functions of Views with Indexing and Learning for 3D Object Recognition

Content Provider	IEEE Xplore Digital Library
Author	Wenjing Li Bebis, G. Bourbakis, N.
Copyright Year	2004
Description	Author affiliation: University of Nevada, Reno (Wenjing Li)
Abstract	This paper focuses on the problem of 3D object recognition from different viewing angles and positions. In particular, we propose a new approach that integrates Algebraic Functions of Views (AFoVs) with indexing and learning. During training, we consider groups of point features and we represent a sparse number of views that they can produce in a k-d tree. Moreover, we learn the manifold formed by a dense number of views using mixture models and Expectation-Maximization (EM). Learning takes place in a "universal", lower-dimensional, space computed through Random Projection (RP). The images that a group of model points can produce are computed off-line using AFoVs by combining a small number of reference views that contain the group. Rigidity constraints are imposed during this step to remove unrealistic views. During recognition, groups of point features are extracted from the scene and used to retrieve from the k-d tree the most feasible model groups that might have produced them. To reduce the number of hypotheses for verification, we rank them by computing the probability that the hypothesized model group is present in the scene. Only hypotheses ranked high enough are considered for further verification. The proposed method has been evaluated using both artifical and real data, illustrating good performance.
Starting Page	102
Ending Page	102
File Size	283803
Page Count	1
File Format	PDF
DOI	10.1109/CVPR.2004.369
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	object recognition Computer vision Shape indexing Laboratories learning Object recognition Information technology algebraic functions of views Layout Feature extraction Robustness Photometry Indexing
Content Type	Text
Resource Type	Article

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

Using algebraic functions of views for indexing-based object recognition

Probabilistic object tracking using multiple features

Object Recognition Based On Indexing In 2D Environment

Towards a general framework for feature extraction

Recognizing 3D Objects with 3D Information from Stereo Vision

Scale-hierarchical 3D object recognition in cluttered scenes

Indexing to 3D model aspects using 2D contour features

Using geometric constraints for matching disparate stereo views of 3D scenes containing planes

Okapi-Chamfer matching for articulate object recognition

Integrating Algebraic Functions of Views with Indexing and Learning for 3D Object Recognition

Similar Documents

Using algebraic functions of views for indexing-based object recognition

Probabilistic object tracking using multiple features

Object Recognition Based On Indexing In 2D Environment

Towards a general framework for feature extraction

Recognizing 3D Objects with 3D Information from Stereo Vision

Scale-hierarchical 3D object recognition in cluttered scenes

Indexing to 3D model aspects using 2D contour features

Using geometric constraints for matching disparate stereo views of 3D scenes containing planes

Okapi-Chamfer matching for articulate object recognition

Integrating Algebraic Functions of Views with Indexing and Learning for 3D Object Recognition