Image-Based 3D Face Modeling System
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Image-Based 3D Face Modeling System In Kyu Park School of Information and Communication Engineering, Inha University, 253 Younghyun-dong, Nam-gu, Incheon 402-751, Korea Email: [email protected]
Hui Zhang Computing Lab, Samsung Advanced Institute of Technology, San 14-1, Nongseo-ri, Giheung-eup, Yongin 449-712, Korea Email: hui [email protected]
Vladimir Vezhnevets Graphics and Media Lab, Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow 119899, Russia Email: [email protected] Received 31 December 2003; Revised 13 October 2004 This paper describes an automatic system for 3D face modeling using frontal and profile images taken by an ordinary digital camera. The system consists of four subsystems including frontal feature detection, profile feature detection, shape deformation, and texture generation modules. The frontal and profile feature detection modules automatically extract the facial parts such as the eye, nose, mouth, and ear. The shape deformation module utilizes the detected features to deform the generic head mesh model such that the deformed model coincides with the detected features. A texture is created by combining the facial textures augmented from the input images and the synthesized texture and mapped onto the deformed generic head model. This paper provides a practical system for 3D face modeling, which is highly automated by aggregating, customizing, and optimizing a bunch of individual computer vision algorithms. The experimental results show a highly automated process of modeling, which is sufficiently robust to various imaging conditions. The whole model creation including all the optional manual corrections takes only 2∼3 minutes. Keywords and phrases: 3D face modeling, image-based system, facial feature detection, generic head model, shape deformation, synthesized texture.
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INTRODUCTION
The automatic generation of a realistic 3D human head model has been a challenging task in computer vision and computer graphics for many years. Various applications such as virtual reality, computer games, video conferencing, and 3D animation could benefit from convincing human face models. Although there are hardware devices such as laser range scanners and structured-light range finders that can capture accurate 3D shapes of complex objects, they are very expensive and difficult to use. The aim of this paper is to make a convincing human head modeling system that is easy to use by a common PC user. In order to achieve this, it is necessary to use affordable devices such as a digital camera for data acquisition to maximize the possible level of automation along with the controls over the creation process and to develop robust algorithms that generates plausible results even in the case of imperfect input data.
In this paper, we develop a practical automatic system for generating a 3D convincing facial model from frontal and profile images, without imposing strict picture-taking conditions such as illumination, view angle, and camera calibration. The proposed mode
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