Integration of optical flow and Multi-Path-Viterbi algorithm for stereo vision
Integration of optical flow and Multi-Path-Viterbi algorithm for stereo vision
复制标题
光流与立体视觉多路径维特比算法的集成
DOI:
10.1142/s0219691317500229
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发表时间:
2017-02
影响因子:
1.4
通讯作者:
Seiichi Mita
中科院分区:
文献类型:
--
作者:
Qiwei Xie;Qian Long;Seiichi Mita
This paper proposes a novel stereo matching algorithm to solve environment sensing problems. It integrates a non-convex optical flow and Viterbi process. The non-convex optical flow employs a new adaptive weighted non-convex Total Generalized Variation (TGV) model, which can obtain sharp disparity maps. Structural similarity, total variation constraint, and a specific merging strategy are combined with the 4 bi-directional Viterbi process to improve the robustness. In the fusion of the optical flow and Viterbi process, a new occlusion processing method is incorporated in order to get more sharp disparity and more robust result. Extensive experiments are conducted to compare this algorithm with other state-of-the-art methods. Experimental results show the superiority of our algorithm.
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影响因子:
4
作者:
RUDIN, LI;OSHER, S;FATEMI, E
通讯作者:
FATEMI, E
DOI:
10.1109/iccv.1999.791261
发表时间:
1999
期刊:
Proceedings of the Seventh IEEE International Conference on Computer Vision
影响因子:
--
作者:
Stan Birchfield;Carlo Tomasi
通讯作者:
Stan Birchfield;Carlo Tomasi
DOI:
10.1093/ietisy/e89-d.1.314
发表时间:
2006
期刊:
IEICE Trans. Inf. Syst.
影响因子:
--
作者:
T. T. Son-T.;S. Mita
通讯作者:
T. T. Son-T.;S. Mita
影响因子:
6.8
作者:
R. Klette;N. Krüger;Tobi Vaudrey;Karl Pauwels;M. V. Hulle;Sandino Morales;F. I. Kandil;R. Haeusler;N. Pugeault;C. Rabe;M. Lappe
通讯作者:
R. Klette;N. Krüger;Tobi Vaudrey;Karl Pauwels;M. V. Hulle;Sandino Morales;F. I. Kandil;R. Haeusler;N. Pugeault;C. Rabe;M. Lappe
DOI:
10.1163/2352-0248_edn_a0826000
发表时间:
1998
期刊:
--
影响因子:
--
作者:
F. Larmande;J. Ponssard
通讯作者:
F. Larmande;J. Ponssard