no code implementations • CVPR 2023 • Yusaku Yoshida, Ryo Kawahara, Takahiro Okabe
We experimentally confirmed that our method can recover the colors of the light sources, the diffuse reflectance values, and the diffuse and specular intensities (shadings) under each of the light sources, and that the IID under AC illumination is effective for application to auto white balancing.
no code implementations • ECCV 2018 • Yuta Asano, Misaki Meguro, Chao Wang, Antony Lam, Yinqiang Zheng, Takahiro Okabe, Imari Sato
The quick detection of specific substances in objects such as produce items via non-destructive visual cues is vital to ensuring the quality and safety of consumer products.
no code implementations • 14 Jun 2017 • Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
To solve this problem, we describe a local region in an image via hierarchical Gaussian distribution in which both means and covariances are included in their parameters.
no code implementations • CVPR 2016 • Tetsu Matsukawa, Takahiro Okabe, Einoshin Suzuki, Yoichi Sato
In both steps, unlike the hierarchical covariance descriptor, the proposed descriptor can model both the mean and the covariance information of pixel features properly.
no code implementations • CVPR 2014 • Ying Fu, Antony Lam, Yasuyuki Kobashi, Imari Sato, Takahiro Okabe, Yoichi Sato
We then show that given the spectral reflectance and fluorescent chromaticity, the fluorescence absorption and emission spectra can also be estimated.
no code implementations • CVPR 2013 • Feng Lu, Yasuyuki Matsushita, Imari Sato, Takahiro Okabe, Yoichi Sato
We propose an uncalibrated photometric stereo method that works with general and unknown isotropic reflectances.