Physics-based extraction of intrinsic images from a single image

Yun Chung Chung, Jung Ming Wang, Robert R. Bailey, Sei-Wang Chen, Shyang Lih Chang, Shen Cherng

研究成果: 書貢獻/報告類型會議論文篇章

6 引文 斯高帕斯(Scopus)

摘要

A technique for extracting intrinsic images, including the reflectance and illumination images, from a single color image is presented. The technique first convolves the input image with a prescribed set of derivative filters. The pixels of filtered images are then classified into reflectance-related or illumination-related based on a set of chromatic characteristics of pixels calculated from the input image. Chromatic characteristics of pixels are defined by a photometric reflectance model based on the Kubelka-Munk color theory. From the classification results of the filtered images, the intrinsic images of the input image can be computed. Real images have been utilized in our experiments. The results have indicated that the proposed technique can effectively extract the intrinsic images from a single image.

原文英語
主出版物標題Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
編輯J. Kittler, M. Petrou, M. Nixon
頁面693-696
頁數4
DOIs
出版狀態已發佈 - 2004 十二月 20
事件Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, 英国
持續時間: 2004 八月 232004 八月 26

出版系列

名字Proceedings - International Conference on Pattern Recognition
4
ISSN(列印)1051-4651

其他

其他Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
國家英国
城市Cambridge
期間2004/08/232004/08/26

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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