Prof. Dr. Yasuyuki Matsushita, Graduate School of Information Science and Technology, Osaka University
Semi-Calibrated Photometric Stereo
3D shape acquisition from images is of broad interest in computer vision and relevant industry applications. This talk introduces a „photometric“ approach to high-fidelity 3D reconstruction, which enables shape recovery at the pixel-level detail. Specifically, this talk covers photometric stereo that takes as input images taken under different illumination conditions and estimates surface normal per-pixel. We introduce a new „semi-calibrated“ photometric stereo, which is in-between calibrated and uncalibrated ones, and show that requirement about the light calibration for the conventional calibrated photometric stereo can be relaxed.
Yasuyuki Matsushita received his B.S., M.S. and Ph.D. degrees in EECS from the University of Tokyo in 1998, 2000, and 2003, respectively. From April 2003 to March 2015, he was with Visual Computing group at Microsoft Research Asia. In April 2015, he joined Osaka University as a professor. His research area includes computer vision, machine learning and optimization. He is on the editorial board of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV) and Encyclopedia of Computer Vision. He served/is serving as a Program Co-Chair of ACCV 2012, ICCV 2017, and a General Co-Chair for ACCV 2014 and ICCV 2021. He is a senior member of IEEE