Structure from motion for scenes without features

Authors:
Anthony J. Yezzi;Stefano Soatto
Affiliations:
Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA;Computer Science Department, University of California, Los Angeles, CA
Venue:
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Year:
2003

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Abstract

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 regionbased cost functional that we minimize using local gradient flow techniques.