New Robust Obstacle Detection System Using Color Stereo Vision

Cabani, I.; Toulminet, G.; Bensrhair, Abdelaziz

doi:10.5772/12981

Advances in Theory and Applications of Stereo Vision 2011

DOI: 10.5772/12981

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New Robust Obstacle Detection System Using Color Stereo Vision

I. Cabani¹,

G. Toulminet²,

Abdelaziz Bensrhair³

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2018

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Cited by 1 publication

References 76 publications

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A Survey of Learning Approaches and Application for 3D Vision

2018

MATEC Web Conf.

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Abstract. Three-dimensional (3D) vision extracted from the stereo images or reconstructed from the twodimensional (2D) images is the most effective topic in computer vision and video surveillance. Threedimensional scene is constructed through two stereo images which existing disparity map by Stereo vision. Many methods of Stereo matching which contains median filtering, mean-shift segmentation, guided filter and joint trilateral filters [1] are used in many algorithms to construct the precise disparity map. These methods committed to figure out the image synthesis range in different Stereo matching fields and among these techniques cannot perform perfectly every turn. The paper focuses on 3D vision, introduce the background and process of 3D vision, reviews several classical datasets in the field of 3D vision, based on which the learning approaches and several types of applications of 3D vision were evaluated and analyzed.

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A Survey of Learning Approaches and Application for 3D Vision

2018

MATEC Web Conf.

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New Robust Obstacle Detection System Using Color Stereo Vision

Cited by 1 publication

References 76 publications

A Survey of Learning Approaches and Application for 3D Vision

A Survey of Learning Approaches and Application for 3D Vision

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