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Multi-Camera 3D Scanning with a Non-rigid and Space-Time Depth Super-Resolution capability

Karima Ouji 1 Mohsen Ardabilian 1 Liming Chen 1 Faouzi Ghorbel 2 
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : 3D imaging sensors for the acquisition of three dimensional faces have created, in recent years, a considerable degree of interest for a number of applications. Structured light camera/projector systems are often used to overcome the relatively uniform appearance of skin. 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 conditions. 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 the assets of stereovision and structured light but also overcomes their weaknesses. The super-resolution process is performed to deal with 3D artifacts and to complete the 3D scanned view in the presence of small non-rigid deformations as facial expressions. The experimental results demonstrate the effectiveness of the proposed approach.
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Submitted on : Thursday, August 18, 2016 - 7:30:17 PM
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Karima Ouji, Mohsen Ardabilian, Liming Chen, Faouzi Ghorbel. Multi-Camera 3D Scanning with a Non-rigid and Space-Time Depth Super-Resolution capability. CAIP'2011, IAPR International Conference on Computer Analysis of Images and Patterns, Aug 2011, Seville, Spain. pp.220-228, ⟨10.1007/978-3-642-23678-5_25⟩. ⟨hal-01354500⟩



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