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2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1
Structure From Motion for Scenes Without Features
Madison, Wisconsin
June 18-June 20
ISBN: 0-7695-1900-8
Anthony J. Yezzi, Georgia Institute of Technology, Atlanta
Stefano Soatto, University of California, Los Angeles
We describe an algorithm for reconstructing the 3D shape of the scene and the relative pose of a number of cameras from a collection of images under the assumption that the scene does not contain photometrically distinct "features". We work under the explicit assumption that the scene is made of a number of smooth surfaces that radiate constant energy isotropically in all directions, and setup a region-based cost functional that we minimize using local gradient flow techniques.
Citation:
Anthony J. Yezzi, Stefano Soatto, "Structure From Motion for Scenes Without Features," cvpr, vol. 1, pp.525, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03) - Volume 1, 2003
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