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ACIVS
2008
Springer

Blur and Contrast Invariant Fast Stereo Matching

9 years 19 days ago
Blur and Contrast Invariant Fast Stereo Matching
We propose a novel approach for estimating a depth-map from a pair of rectified stereo images degraded by blur and contrast change. At each location in image space, information is encoded with a new class of descriptors that are invariant to convolution with centrally symmetric PSF and to variations in contrast. The descriptors are based on local-phase quantization, they can be computed very efficiently and encoded in a limited number of bits. A simple measure for comparing two encoded templates is also introduced. Results show that, the proposed method can represent a cheap but still effective way for estimating disparity maps from degraded images, without making restrictive assumptions; these advantages make it attractive for practical applications.
Matteo Pedone, Janne Heikkilä
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where ACIVS
Authors Matteo Pedone, Janne Heikkilä
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