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Journal Articles International Journal of Mathematical Imaging and Vision(JMIV) Year : 2012

3D Deformable Super-Resolution For Multi-Camera 3D Face Scanning

Abstract

Low-cost and high-accuracy 3D face measurement is becoming increasingly important in many computer vision applications including face recognition, facial animation, games, orthodontics and aesthetic surgery. In most cases fringe projection based systems are used to overcome the relatively uniform appearance of skin. These systems employ a structured light camera/projector device and require explicit user cooperation and controlled lighting conditions. In this paper, we propose a 3D acquisition solution with a 3D space-time non-rigid super-resolution capability, using three calibrated cameras coupled with a non calibrated projector device, which is particularly suited to 3D face scanning, i.e. rapid, easily movable and robust to ambient lighting variation. The proposed solution is a hybrid stereovision and phase-shifting approach, using two shifted patterns and a texture image, which not only takes advantage of stereovision and structured light, but also overcomes their weaknesses. The super-resolution scheme involves a shape+texture 3D non-rigid registration for 3D artifacts correction in the presence of small non-rigid deformations as facial expressions.

Dates and versions

hal-01353094 , version 1 (10-08-2016)

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Karima Ouji, Mohsen Ardabilian, Liming Chen, Faouzi Ghorbel. 3D Deformable Super-Resolution For Multi-Camera 3D Face Scanning. International Journal of Mathematical Imaging and Vision(JMIV), 2012, pp.124-137. ⟨10.1007/s10851-012-0399-y⟩. ⟨hal-01353094⟩
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