PERFORMANCE CHARACTERIZATION OF FUNDAMENTAL MATRIX ESTIMATION UNDER IMAGE DEGRADATION

Authors
TORR PHS ZISSERMANN A
Citation
Phs. Torr et A. Zissermann, PERFORMANCE CHARACTERIZATION OF FUNDAMENTAL MATRIX ESTIMATION UNDER IMAGE DEGRADATION, Machine vision and applications, 9(5-6), 1997, pp. 321-333
Citations number
30
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Sciences, Special Topics","Computer Sciences","Engineering, Eletrical & Electronic","Computer Science Cybernetics
Journal title
Machine vision and applications → ACNP
ISSN journal
09328092
Volume
9
Issue
5-6
Year of publication
1997
Pages
321 - 333
Database
ISI
SICI code
0932-8092(1997)9:5-6<321:PCOFME>2.0.ZU;2-G
Abstract
The fundamental matrix represents the epipolar geometry between two im ages. We describe an algorithm for simultaneously estimating the funda mental matrix and corresponding points automatically from the two imag es. The performance of this algorithm is then assessed as the images a re degraded by JPEG lossy compression. A number of performance measure s are proposed and evaluated over image pairs corresponding to differe nt camera motions and scene types.