A convex optimization approach to robust fundamental matrix estimation.

Yongfang Cheng Jose A. Lopez Octavia I. Camps Mario Sznaier

Published in: CVPR (2015)

Keyphrases

convex optimization
fundamental matrix estimation
norm minimization
low rank
interior point methods
convex relaxation
total variation
convex programming
primal dual
fundamental matrix
image processing
image segmentation
computational complexity
sparse representation
feature matching