no code implementations • ECCV 2020 • Daichi Iwata, Michael Waechter, Wen-Yan Lin, Yasuyuki Matsushita
This paper studies the problem of sparse residual regression, i. e., learning a linear model using a norm that favors solutions in which the residuals are sparsely distributed.
no code implementations • ECCV 2020 • Hiroaki Santo, Michael Waechter, Yasuyuki Matsushita
This paper presents a near-light photometric stereo method for spatially varying reflectances.
no code implementations • ECCV 2020 • Guan-Ying Chen, Michael Waechter, Boxin Shi, Kwan-Yee K. Wong, Yasuyuki Matsushita
Based on this insight, we propose a guided calibration network, named GCNet, that explicitly leverages object shape and shading information for improved lighting estimation.
no code implementations • ECCV 2018 • Hiroaki Santo, Michael Waechter, Masaki Samejima, Yusuke Sugano, Yasuyuki Matsushita
We present a practical method for geometric point light source calibration.
no code implementations • 26 Jan 2016 • Michael Waechter, Mate Beljan, Simon Fuhrmann, Nils Moehrle, Johannes Kopf, Michael Goesele
Furthermore, using only geometric accuracy by itself does not allow evaluating systems that either lack a geometric scene representation or utilize coarse proxy geometry.