Cost Adaptive Window for Local Stereo Matching

被引：0

作者：

Navarro, J. ^{[1
]}

Buades, A. ^{[1
]}

机构：

[1] Univ Illes Balears, Dpt Matemat Informat, Ctra Valldemossa Km 7-5, Palma De Mallorca, Spain

来源：

PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 6 | 2017年

关键词：

Stereovision; Depth Estimation; Block-matching; Adaptive Windows;

D O I：

10.5220/0006100503690376

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a novel stereo block-matching algorithm which uses adaptive windows. The shape of the window is selected to minimize the matching cost. Such a window might be the less distorted by the disparity function and thus the optimal one for matching. Moreover, we introduce a coarse-to-fine strategy to limit the number of ambiguous matches and reduce the computational cost. The proposed approach performs as state of the art local matching methods.

引用

页码：369 / 376

页数：8

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