Disparity estimation from monocular image sequence

Qieshi Zhang; Sei-ichiro Kamata

doi:10.1117/12.2180535

14 February 2015 Disparity estimation from monocular image sequence

Qieshi Zhang, Sei-ichiro Kamata

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 944515 (2015) https://doi.org/10.1117/12.2180535
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

This paper proposes a novel method for estimating disparity accurately. To achieve the ideal result, an optimal adjusting framework is proposed to address the noise, occlusions, and outliners. Different from the typical multi-view stereo (MVS) methods, the proposed approach not only use the color constraint, but also use the geometric constraint associating multiple frame from the image sequence. The result shows the disparity with a good visual quality that most of the noise is eliminated, the errors in occlusion area are suppressed and the details of scene objects are preserved.

Citation Download Citation

Qieshi Zhang and Sei-ichiro Kamata "Disparity estimation from monocular image sequence", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944515 (14 February 2015); https://doi.org/10.1117/12.2180535

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