DocumentCode :
1640919
Title :
Structure from motion for scenes without features
Author :
Yezzi, Anthony J. ; Soatto, Stefano
Author_Institution :
Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
1
fYear :
2003
Abstract :
We describe an algorithm for reconstructing the 3D (three-dimensional) 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.
Keywords :
image reconstruction; image sequences; motion estimation; stereo image processing; video signal processing; 3D shape reconstruction; constant energy isotropic radiation; gradient flow; image collection; motion estimation; motion parameter; motion structure; photometrically distinct feature; region-based cost functional minimization; Cameras; Computer science; Computer vision; Cost function; Geometry; Image reconstruction; Layout; Photometry; Shape; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-1900-8
Type :
conf
DOI :
10.1109/CVPR.2003.1211399
Filename :
1211399
Link To Document :
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