no code implementations • 21 Jan 2024 • Rafal K. Mantiuk, Param Hanji, Maliha Ashraf, Yuta Asano, ALEXANDRE CHAPIRO
ColorVideoVDP is a video and image quality metric that models spatial and temporal aspects of vision, for both luminance and color.
1 code implementation • CVPR 2023 • Jin Han, Yuta Asano, Boxin Shi, Yinqiang Zheng, Imari Sato
High-fidelity radiance recovery plays a crucial role in scene information reconstruction and understanding.
1 code implementation • CVPR 2021 • Ziang Cheng, Hongdong Li, Yuta Asano, Yinqiang Zheng, Imari Sato
Recovering the 3D geometry of a purely texture-less object with generally unknown surface reflectance (e. g. non-Lambertian) is regarded as a challenging task in multi-view reconstruction.
no code implementations • ECCV 2018 • Ko Nishino, Art Subpa-Asa, Yuta Asano, Mihoko Shimano, Imari Sato
We show that the path length of light captured in each of these observations is naturally lower-bounded by the ring light radius.
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 • CVPR 2017 • Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato
We derive an analytical spectral appearance model of wet surfaces that expresses the characteristic spectral sharpening due to multiple scattering and absorption in the surface.