Title :
Projective depth: A geometric invariant for 3D reconstruction from two perspective/orthographic views and for visual recognition
Author_Institution :
Dept. of B&CS, MIT, Cambridge, MA, USA
Abstract :
The author addresses the problems of reconstructing 3-D space in a projective framework from two views and of artificially generating novel views of the scene from two given views. It is shown that with the correspondences coming from four non-coplanar points in the scene and the corresponding epipoles, it is possible to define and reconstruct a projective invariant, referred to as projective depth, that can be used later to reconstruct the projective or affine structure of the scene or directly to generate novel views of the scene. The derivation has the advantage that the viewing transformation matrix need not be recovered in the course of computations
Keywords :
computer vision; image reconstruction; 3D reconstruction; affine structure; correspondences; epipoles; geometric invariant; projective depth; projective framework; projective invariant; viewing transformation matrix; visual recognition; Artificial intelligence; Calibration; Cameras; Image recognition; Image reconstruction; Impedance matching; Laboratories; Layout; Space technology; Stability;
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
DOI :
10.1109/ICCV.1993.378158