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Proceedings Paper

Disparity estimation from monocular image sequence
Author(s): Qieshi Zhang; Sei-ichiro Kamata
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Paper 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.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944515 (14 February 2015); doi: 10.1117/12.2180535
Show Author Affiliations
Qieshi Zhang, Waseda Univ. (Japan)
Sei-ichiro Kamata, Waseda Univ. (Japan)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

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