REAL-TIME DENSE DISPARITY ESTIMATION USING CUDA'S API

被引：0

作者：

Boufarguine, Mourad ^{[1
]}

Baklouti, Malek ^{[1
]}

Guitteny, Vincent ^{[1
]}

Couvet, Serge ^{[1
]}

机构：

[1] THALES Secur Solut & Serv Div D3S, Cergy Pontoise, France

来源：

VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2 | 2009年

关键词：

Stereovision; Real-time; Range map; Depth map; Dense matching; Beliefs propagation; General purpose calculations on graphic processors; BELIEF PROPAGATION; STEREO;

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：

In this paper, we present a real-time dense disparity map estimation based on beliefs propagation inference algorithm. While being real-time, our implementation generates high quality disparity maps. Despite the high complexity of the calculations beliefs propagation involves, our implementation on graphics processor using CUDA API makes more than 100 times speedup compared to CPU implementation. We tested our experimental results in the Middlebury benchmark and obtained good results among the real-time algorithms. We use several programming techniques to reduce the number of iterations to convergence and memory usage in order to maintain real-time performance.

引用

页码：417 / 422

页数：6

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