Multi-viewpoint Silhouette Extraction with 3D Context-aware Error Detection, Correction, and Shadow Suppression

نویسندگان

  • Shohei Nobuhara
  • Yoshiyuki Tsuda
  • Iku Ohama
  • Takashi Matsuyama
چکیده

This paper presents a novel approach for silhouette extraction from multi-viewpoint images. The main contribution of this paper is a new algorithm for 1) 3D context-aware error detection and correction of 2D multi-viewpoint silhouette extraction and 2) 3D context-aware classification of castshadow regions. Some experiments demonstrate advantages against previous approaches.

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عنوان ژورنال:
  • IPSJ Trans. Computer Vision and Applications

دوره 1  شماره 

صفحات  -

تاریخ انتشار 2009