Material appearance acquisition from a single image

被引：0

作者：

Zhang, Xu ^{[1
]}

Cui, Shulin ^{[2
,3
]}

Cui, Hanwen ^{[1
]}

Yang, Lin ^{[2
]}

Wu, Tao ^{[2
]}

机构：

[1] Jilin Univ, Zhuhai Coll, Zhuhai 519041, Peoples R China

[2] Seasun Holdings Ltd, Zhuhai 519015, Peoples R China

[3] Sun Yat Sen Univ, Guangzhou 510006, Guangdong, Peoples R China

来源：

SEVENTH INTERNATIONAL CONFERENCE ON ELECTRONICS AND INFORMATION ENGINEERING | 2017年 / 10322卷

关键词：

MAA; Highlight removal; SFS; Intrinsic images; IPOPT; SEPARATION; SHAPE;

D O I：

10.1117/12.2265223

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The scope of this paper is to present a method of material appearance acquisition(MAA) from a single image. In this paper, material appearance is represented by spatially varying bidirectional reflectance distribution function(SVBRDF). Therefore, MAA can be reduced to the problem of recovery of each pixel's BRDF parameters from an original input image, which include diffuse coefficient, specular coefficient, normal and glossiness based on the Blinn-Phone model. In our method, the workflow of MAA includes five main phases: highlight removal, estimation of intrinsic images, shape from shading(SFS), initialization of glossiness and refining SVBRDF parameters based on IPOPT. The results indicate that the proposed technique can effectively extract the material appearance from a single image.

引用

页数：5

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