Dichromatic reflection separation from a single image

Yun Chung Chung*, Shyang Lih Chang, Shen Cherng, Sei Wang Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

A feature-based technique for separating specular and diffuse components of a single image is presented. In the proposed approach, Sharer's dichromatic reflection model is utilized, which assumed a light reflected from a surface point is linearly composed of diffuse and specular reflections. The major idea behind the proposed method is to classify the boundary pixels of the input image to be specular-related or diffuse-related. A fuzzy integral process is proposed to classify boundary pixels based on their local evidences, including specular and diffuse estimation information. Based on the classification result of boundary pixels, an integration method is evoked to reconstruct the specular and diffuse components of the input image, respectively. Unlike previous researches, the proposed method has no color segmentation and iterative operations. The experimental results have demonstrated that the proposed method can perform dichromatic reflectance separation effectively with small misadjustments and rapid convergence.

原文英語
主出版物標題Energy Minimization Methods in Computer Vision and Pattern Recognition - 6th International Conference, EMMCVPR, 2007 Proceedings
頁面225-241
頁數17
出版狀態已發佈 - 2007 十二月 1
事件6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007 - Ezhou, 中国
持續時間: 2007 八月 272007 八月 29

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4679 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007
國家/地區中国
城市Ezhou
期間2007/08/272007/08/29

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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