Home > Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point-Correspondence Algorithms
 

Self-Consistency: A Novel Approach to Characterizing the Accuracy and Reliability of Point-Correspondence Algorithms

Leclerc, Y. G. ; Luong, Q. T. ; Fua, P.

Published in:
ICCV Workshop on Vision Algorithms: Theory and Practice, Corfu, Greece
Year:
1999
Laboratories:
CVLAB

Record appears in:
Scientific production and competences > I&C - School of Computer and Communication Sciences > IINFCOM > CVLAB - Computer Vision Laboratory
Scientific production and competences > Euler Center for Signal Processing
Conference Papers
Work produced at EPFL
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 Record created 2006-02-03, last modified 2018-03-17

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