Novel Stereo-Matching Method Utilizing Surface Normal Data

被引：2

作者：

Song, Euijeong ^{[1
]}

Kim, Seokjung ^{[1
]}

Chang, Minho ^{[1
]}

机构：

[1] Korea Univ, Dept Mech Engn, 145 Anam Ro, Seoul 02841, South Korea

来源：

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | 2020年 / 21卷 / 08期

关键词：

Stereo matching; Surface normal data; Block transformation; Photometric stereo; Computer vision; BELIEF PROPAGATION;

D O I：

10.1007/s12541-020-00350-8

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Stereo matching has a critical disadvantage in that 3D data acquired with this method is not accurate because only intensity data from the image can be utilized. Optimization processes such as belief propagation and graph cuts increase the robustness and accuracy of the 3D data, but these require significant computational power. We propose a novel method of stereo matching that utilizes surface normal data derived from the photometric stereo technique. We obtain an improved depth map without requiring additional optimization.

引用

页码：1437 / 1445

页数：9

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