Disparity estimation from monocular image sequence

Qieshi Zhang, Sei Ichiro Kamata

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルSeventh International Conference on Machine Vision, ICMV 2014
編集者Branislav Vuksanovic, Jianhong Zhou, Antanas Verikas, Petia Radeva
出版社SPIE
ISBN(電子版)9781628415605
DOI
出版ステータスPublished - 2015 1月 1
イベント7th International Conference on Machine Vision, ICMV 2014 - Milan, Italy
継続期間: 2014 11月 192014 11月 21

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
9445
ISSN(印刷版)0277-786X
ISSN(電子版)1996-756X

Conference

Conference7th International Conference on Machine Vision, ICMV 2014
国/地域Italy
CityMilan
Period14/11/1914/11/21

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

フィンガープリント

「Disparity estimation from monocular image sequence」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル