NDLI: Augmenting images of non-rigid scenes using point and curve correspondences

Content Provider	IEEE Xplore Digital Library
Author	Bartoli, A. von Tunzelmann, E. Zisserman, A.
Copyright Year	2004
Description	Author affiliation: Dept. of Eng., Oxford Univ., UK (Bartoli, A.; von Tunzelmann, E.; Zisserman, A.)
Abstract	Our goal is to augment images of non-rigid scenes coming from single-camera footage. We do not assume any a priori information about the scene being viewed, such as for example a parameterized 3D model or the motion of the camera. One possible solution is to use non-rigid factorization of points, from which a dense interpolating function modeled by a thin-plane spline can be computed. However, in many cases, point correspondences fail to capture precisely all the deformations occurring in the scene. Examples include the eyebrows or the lips when augmenting sequences of a face. Such deformations can be captured by tracking curves, but then point correspondences are not obtained directly due to the aperture problem. We propose an integrated method for non-rigid factorization and thin-plate spline interpolant estimation using point and curve correspondences over multiple views. The main novelties lie in the introduction of curves into the non-rigid factorization framework and in a direct global solution for the registration map, obtained by minimizing the registration error over all points and curves while taking all the images into account. The parameters of the registration map are set using cross-validation. The fidelity of the map is demonstrated by augmenting video footage undergoing various types of deformation.
Sponsorship	IEEE Comput. Soc
File Size	818585
File Format	PDF
ISBN	0769521584
ISSN	10636919
DOI	10.1109/CVPR.2004.1315100
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	Layout Shape Spline Eyebrows Cameras Lips Apertures Stereo vision Interpolation Clothing
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 Libarray 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

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