TY - GEN
T1 - Disparity estimation from monocular image sequence
AU - Zhang, Qieshi
AU - Kamata, Sei Ichiro
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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.
AB - 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.
KW - Color constraint
KW - Disparity estimation
KW - Geometry constraint
KW - Multi-view stereo (MVS)
UR - http://www.scopus.com/inward/record.url?scp=84924347660&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84924347660&partnerID=8YFLogxK
U2 - 10.1117/12.2180535
DO - 10.1117/12.2180535
M3 - Conference contribution
AN - SCOPUS:84924347660
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Seventh International Conference on Machine Vision, ICMV 2014
A2 - Vuksanovic, Branislav
A2 - Zhou, Jianhong
A2 - Verikas, Antanas
A2 - Radeva, Petia
PB - SPIE
T2 - 7th International Conference on Machine Vision, ICMV 2014
Y2 - 19 November 2014 through 21 November 2014
ER -