NDLI: Accurate face models from uncalibrated and ill-lit video sequences

Content Provider	IEEE Xplore Digital Library
Author	Dimitrijevic, M. Ilic, S. Fua, P.
Copyright Year	2004
Description	Author affiliation: Comput. Vision Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland (Dimitrijevic, M.; Ilic, S.; Fua, P.)
Abstract	We propose a face reconstruction technique that produces models that not only look good when texture mapped, but are also metrically accurate. Our method is designed to work with short uncalibrated video or movie sequences, even when the lighting is poor resulting in specularities and shadows that complicate the algorithm's task. Our approach relies on optimizing the shape parameters of a sophisticated PCA based model given pairwise image correspondences as input. All that is required is enough relative motion between camera and subject so that we can derive structure from motion. By matching the results against laser scanning data, we will show that its precision is excellent and can be predicted as a junction of the number and quality of the correspondences. This is important if one wishes to obtain the appropriate compromise between processing speed and quality of the results. Furthermore, our method is in fact not specific to faces and could equally be applied to any shape for which a shape model controlled with relatively small number of parameters exists.
Sponsorship	IEEE Comput. Soc
File Size	723440
File Format	PDF
ISBN	0769521584
ISSN	10636919
DOI	10.1109/CVPR.2004.1315278
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	Video sequences Lighting Motion pictures Image reconstruction Cameras Shape control Face detection Computer vision Laser modes Head
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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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
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