Optimal parameter estimation for MRF stereo matching

被引：0

作者：

Gherardi, R ^{[1
]}

Castellani, U ^{[1
]}

Fusiello, A ^{[1
]}

Murino, V ^{[1
]}

机构：

[1] Univ Verona, Dipartimento Informat, I-37134 Verona, Italy

来源：

IMAGE ANALYSIS AND PROCESSING - ICIAP 2005, PROCEEDINGS | 2005年 / 3617卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an optimisation technique to select automatically a set of control parameters for a Markov Random Field applied to stereo matching. The method is based on the Reactive Tabu Search strategy, and requires to define a suitable fitness function that measures the performance of the MRF stereo algorithm with a given parameters set. This approach have been made possible by the recent availability of ground-truth disparity maps. Experiments with synthetic and real images illustrate the approach.

引用

页码：818 / 825

页数：8

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