3D Face Modeling: Comprehensive Description

Sushma Jaiswal

Abstract


To provide a comprehensive survey, we not only categorize existing modeling techniques but also present detailed descriptions of representative methods within each category. In addition, relevant topics such as biometric modalities, system evaluation, and issues of illumination and pose variation are covered. 3D models hold more information of the face, like surface information, that can be used for face recognition or subject discrimination. This paper, gives the survey based techniques or methods for 3D face modeling, in this paper first step namely Model Based Face Reconstruction, secondly Methods of 3d Face models divided into three parts Holistic matching methods, Feature-based (structural) matching methods, Hybrid methods thirdly Other methods categorized into again three parts 2D based class, 3D Based class and 2D+3D based class are discussed. There are two underlying motivations for us to write this survey paper: the first is to provide an up-to-date review of the existing literature, and the second is to offer some insights into the studies of machine recognition of faces.

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