A New Method on Super Pixel Reducing Stereo Matching Time of Integrated Imaging

Author:

Wang Xue-Guang12ORCID,Li Ming1,Zhang Lei3,Zhao Hui45,Palaoag Thelma D.6

Affiliation:

1. School of Information and Control Engineering, China University of Mining and Technology, DaXue Road 1, XuZhou JiangSu, 221116, China

2. School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China

3. School of Mathematics and Physics, University of Engineering, HeBei HanDan, TaiJiRoad19#, 056038, P. R. China

4. School of Information & Electrical Engineering, Hebei University of Engineering, Taiji Road 19, Handan, Hebei, 056038, P. R. China

5. College of Teacher Education, University of the Cordilleras, Governor Pack Rd., Baguio City, 2600, Philippines

6. College of Information Technology and Computer Science, University of the Cordilleras, Governor Pack Rd., Baguio City, 2600, Philippines

Abstract

Stereo vision and 3D reconstruction technologies are increasingly concerned in many fields. Stereo matching algorithm is the core of stereo vision and also a technical difficulty. A novel method based on super pixels is mentioned in this paper to reduce the calculating amount and the time. Stereo images from University of Tsukuba are used to test our method. The proposed method spends only 1% of the time spent by the conventional method. Through a two-step super-pixel matching optimization, it takes 6.72 s to match a picture, which is 12.96% of the pre-optimization.

Funder

the Natural National Science Foundation of China

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

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