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ICCV
2003
IEEE

Visual Correspondence Using Energy Minimization and Mutual Information

11 years 4 months ago
Visual Correspondence Using Energy Minimization and Mutual Information
We address visual correspondence problems without assuming that scene points have similar intensities in different views.This situation is common, usually due to non-lambertian scenes or to differences between cameras. We use maximization of mutual information, a powerful technique for registering images that requires no a priori model of the relationship between scene intensities in different views. However, it has proven difficult to use mutual information to compute dense visual correspondence. Comparing fixed-size windows via mutual information suffers from the well-known problems of fixed windows, namely poor performance at discontinuities and in low-texture regions. In this paper, we show how to compute visual correspondence using mutual information without suffering from these problems. Using a simple approximation, mutual information can be incorporated into the standard energy minimization framework used in early vision. The energy can then be efficiently minimized using grap...
Junhwan Kim, Vladimir Kolmogorov, Ramin Zabih
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2003
Where ICCV
Authors Junhwan Kim, Vladimir Kolmogorov, Ramin Zabih
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