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In this study, we present a novel geometric representation for 3D faces in order to enhance distinctiveness of generally smooth range images. This novel face representation is based on Multi-Scale Extended Local Binary Patterns (ELBP) and enables accurate and fast description of local shape variations on range faces. When associated with the proposed SIFT-based local feature matching scheme, this...
This paper presents a simple yet effective approach for 3D face recognition. A novel 3D facial surface representation, namely Multi-Scale Local Binary Pattern (MS-LBP) Depth Map, is proposed, which is used along with the Shape Index (SI) Map to increase the distinctiveness of smooth range faces. Scale Invariant Feature Transform (SIFT) is introduced to extract local features to enhance the robustness...
In the recent years, 3D face recognition has emerged as a major solution to deal with the unsolved issues for reliable 2D face recognition, i.e. lighting condition and viewpoint variations. However, 3D method is currently limited by its registration and computation cost. In this paper, we propose to investigate a solution named asymmetric face recognition scheme, enrolling people in 3D environment...
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