NDLI: Surface reconstruction from the projection of points, curves and contours

Content Provider	IEEE Xplore Digital Library
Author	Solem, J.E. Kahl, F.
Copyright Year	2004
Description	Author affiliation: Sch. of Technol. & Soc., Malmo Univ., Sweden (Solem, J.E.)
Abstract	In this paper the problem of building and reconstructing geometrical surface models from multiple calibrated images is considered. We build an appropriate statistical 3D model from the images alone and show how this a priori model can be used to automatically reconstruct new instances of the object category from one or several images. The surface reconstruction method is based on a level set representation and one of the main novel contributions lie within the level set framework. Standard methods use either image-correlation or point correspondences to achieve this goal. We show how this framework can be extended to incorporate image curves and apparent contours (i.e. the projections of silhouettes). In order to automatically obtain feature correspondences, we use a statistical shape model for the object category of interest. The model is based on the active shape model using probabilistic PCA. The scheme is applied to build and automatically reconstruct 3D surface models of faces. The resulting system is demonstrated on a database of real face images.
Sponsorship	Univ. of Maryland Inst. for Advanced Comput. Studies (UMIACS) IEEE Comput. Soc
Starting Page	301
Ending Page	307
File Size	608610
Page Count	7
File Format	PDF
ISBN	0769522238
DOI	10.1109/TDPVT.2004.1335214
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-09
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surface reconstruction Surface fitting Image reconstruction Level set Active shape model Principal component analysis Curve fitting Australia Solid modeling Reconstruction algorithms
Content Type	Text
Resource Type	Article

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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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