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Diego Thomas

Kyushu university, Fukuoka, Japan

11th April 2019, 11h, Salle des thèses, IRIT.

3D Human body reconstruction using RGB-D cameras

Abstract: Consumer grade RGB-D cameras have become the commodity tool to build dense 3D models of indoor scenes. Motivated by the strong demand to build high-fidelity personal 3D avatars, there is now many efforts done to use RGB-D cameras to automatically reconstruct high-quality 3D models of the human body. This is a very difficult task because the human body non-rigidly moves during the scanning process. How to simultaneously reconstruct the detailed 3D shape of the body while accurately tracking the non-rigid motion is the main challenge that all successful systems must solve. In addition, to be used in portable devices such as smartphones, solutions that require few memory consumption and low computational power are needed. In this talk, we will first briefly review existing successful strategies for real-time 3D human body reconstruction. Then, we will present our proposed solution for 3D human body reconstruction that is light in memory consumption and computational power. Our main idea here is to separate the full body non-rigid reconstruction into multiple nearly-rigid reconstructions of body parts that are tightly stitched together.

Bio: Diego Thomas received his master's degree in Informatics and Applied Mathematics from the Ecole Nationale Superieure d'Informatique et de Mathematiques Appliquees de Grenoble (ENSIMAG), France in 2008. He received his Ph.D. from the Graduate University for Advanced Studies (SOKENDAI), Japan in 2012. He was a post-doc researcher at the National Institute of Informatics (Tokyo, Japan) from April 2012 to March 2015. From April 2015 to March 2017, he was a JSPS post-doc researcher at the University of Kyushu (Fukuoka, Japan). His research interests are 3D images registration, 3D reconstruction and photometric analysis. From April 2017, he is assistant professor of Graduate School of Information Science and Electrical Engineering (ISEE), Kyushu University.

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