Title :
Direct recovery of planar-parallax from multiple frames
Author :
Irani, Michal ; Anandan, P. ; Cohen, Meir
Author_Institution :
Dept. of Comput. Sci. & Appl. Math., Weizmann Inst. of Sci., Rehovot, Israel
fDate :
11/1/2002 12:00:00 AM
Abstract :
We present an algorithm that estimates dense planar-parallax motion from multiple uncalibrated views of a 3D scene. This generalizes the "plane+parallax" recovery methods to more than two frames. The parallax motion of pixels across multiple frames (relative to a planar surface) is related to the 3D scene structure and the camera epipoles. The parallax field, the epipoles, and the 3D scene structure are estimated directly from image brightness variations across multiple frames, without precomputing correspondences.
Keywords :
brightness; computer vision; motion estimation; 3D scene; camera epipoles; correspondence estimation; dense planar-parallax motion estimation; image brightness variations; multiple frames; multiple uncalibrated views; pixels; planar surface; structure from motion; Brightness; Calibration; Cameras; Geometry; Image motion analysis; Layout; Motion analysis; Motion estimation; Search problems; Shape;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2002.1046174