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