An extended photometric stereo algorithm for recovering specular object shape and its reflectance properties | Zendy

Zuoyong Zheng | Zendy; Lizhuang Ma | Zendy; Zhong Li | Zendy; Zhihua Chen | Zendy

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An extended photometric stereo algorithm for recovering specular object shape and its reflectance properties

Author(s) -

Zuoyong Zheng,

Lizhuang Ma,

Zhong Li,

Zhihua Chen

Publication year - 2010

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis1001001z

Subject(s) - specular reflection , photometric stereo , computer science , specular highlight , representation (politics) , computer vision , object (grammar) , reflection (computer programming) , artificial intelligence , basis (linear algebra) , set (abstract data type) , algorithm , reflectivity , image (mathematics) , optics , mathematics , geometry , physics , politics , law , political science , programming language

In Photometric stereo, the existence of specularities hampers to recover the normal map. To deal with this common reflective phenomenon, we introduce a novel representation for specular reflection with a set of specular basis functions with different roughness values. This representation is suitable for any intensively or weakly specular object, and is introduced into the photometric stereo algorithm to recover both the surface shape and its reflectance properties. The reconstructed shapes and re-rendered images validate the proposed algorithm.

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