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While most of existing methods use facial intensity images, a newest ones focus on introducing depth information to surmount some of classical face recognition problems such as pose, illumination, and facial expression variations. This abstract summarizes a new face recognition approach invariant to facial expressions based on dimensional surface matching. The core of our recognition/authentication...
In the theory of differential geometry, surface normal, as a first order surface differential quantity, determines the orientation of a surface at each point and contains informative local surface shape information. To fully exploit this kind of information for 3D face recognition (FR), this paper proposes a novel highly discriminative facial shape descriptor, namely multi-scale and multi-component...
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...
3D face has recently emerged as a major trend in face recognition. While 3D face is reputed to be relatively invariant to lighting conditions and pose, one still needs to cope with facial expression variations for a reliable face recognition solution. Many works in the literature try to define some invariants with respect to facial expressions. In this paper, we consider facial expressions as results...
In this paper, we present a novel approach for face recognition and authentication based on dimensional surface matching. While most of existing methods use facial intensity images, a recent set of approaches focus on introducing depth information to surmount some of challenging problems such as pose, illumination, and facial expression variations. The presented matching algorithm is based on ICP...
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