TY - GEN
T1 - Dichromatic reflection separation from a single image
AU - Chung, Yun Chung
AU - Chang, Shyang Lih
AU - Cherng, Shen
AU - Chen, Sei Wang
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Dichromatic reflection separation
KW - Fuzzy integral classification
KW - Specular and diffuse components
UR - http://www.scopus.com/inward/record.url?scp=38149120427&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38149120427&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74198-5_18
DO - 10.1007/978-3-540-74198-5_18
M3 - Conference contribution
AN - SCOPUS:38149120427
SN - 9783540741954
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 225
EP - 241
BT - Energy Minimization Methods in Computer Vision and Pattern Recognition - 6th International Conference, EMMCVPR, 2007 Proceedings
PB - Springer Verlag
T2 - 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2007
Y2 - 27 August 2007 through 29 August 2007
ER -