Stereo vision parallelization for three-dimensional reconstruction

被引：1

作者：

Enrique Hernandez-Beltran, Jose ^{[1
]}

Orlando Lugo-Aguilar, Mack ^{[1
]}

Diaz-Ramirez, Victor H. ^{[1
]}

Juarez-Salazar, Rigoberto ^{[2
]}

机构：

[1] Inst Politecn Nacl, CITEDI, Inst Politecn Nacl 1310, Tijuana 22435, Mexico

[2] Inst Politecn Nacl, CITEDI, CONACYT, Inst Politecn Nacl 1310, Tijuana 22435, Mexico

来源：

OPTICS AND PHOTONICS FOR INFORMATION PROCESSING XIV | 2020年 / 11509卷

关键词：

Stereo vision; stereo matching; adaptive matched filter; graphics processing unit (GPU);

D O I：

10.1117/12.2569278

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A parallel implementation of a proposed stereo vision algorithm for three-dimensional scene reconstruction is presented. The algorithm firstly estimates the disparity map of a scene from a pair of rectified stereo images using an adaptive template matched filter. Next, the estimated disparity is utilized to retrieve the three-dimensional information of the scene, by considering the stereo camera's intrinsic parameters. The proposed algorithm is implemented on an embedded graphics processing unit by exploiting massive parallelism for high-rate image processing. The performance of the proposed algorithm is evaluated in real-life scenes captured on a laboratory experimental platform in terms of accuracy and processing speed.

引用

页数：9

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