Search Results for author: Ryo Kawahara

Found 7 papers, 0 papers with code

Light Source Separation and Intrinsic Image Decomposition Under AC Illumination

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.

Intrinsic Image Decomposition

Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction

no code implementations CVPR 2023 Ryo Kawahara, Meng-Yu Jennifer Kuo, Shohei Nobuhara

The planar mirrors virtually define multiple viewpoints by multiple reflections, and the monocentric lens realizes a high magnification with less blurry and surround view even in closeup imaging.

3D Shape Reconstruction

Shape From Sky: Polarimetric Normal Recovery Under the Sky

no code implementations CVPR 2021 Tomoki Ichikawa, Matthew Purri, Ryo Kawahara, Shohei Nobuhara, Kristin Dana, Ko Nishino

That is, we show that the unique polarization pattern encoded in the polarimetric appearance of an object captured under the sky can be decoded to reveal the surface normal at each pixel.

Navigate

Polarimetric Normal Stereo

no code implementations CVPR 2021 Yoshiki Fukao, Ryo Kawahara, Shohei Nobuhara, Ko Nishino

Our key idea is to introduce a polarimetric cost volume of distance defined on the polarimetric observations and the polarization state computed from the surface normal.

Denoising

Towards Federated Graph Learning for Collaborative Financial Crimes Detection

no code implementations19 Sep 2019 Toyotaro Suzumura, Yi Zhou, Natahalie Baracaldo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Yuji Watanabe, Pablo Loyola, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran

Advances in technology used in this domain, including machine learning based approaches, can improve upon the effectiveness of financial institutions' existing processes, however, a key challenge that most financial institutions continue to face is that they address financial crimes in isolation without any insight from other firms.

Federated Learning Graph Learning

Appearance and Shape from Water Reflection

no code implementations25 Jun 2019 Ryo Kawahara, Meng-Yu Jennifer Kuo, Shohei Nobuhara, Ko Nishino

In other words, for the first time, we show that capturing a direct and water-reflected scene in a single exposure forms a self-calibrating HDR catadioptric stereo camera.

3D Scene Reconstruction Stereo Matching +1

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