22 citations · 39 across the 7 of their papers we have counts for
9 papers
MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo
Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman
Photometric stereo typically demands intricate data acquisition setups involving multiple light sources to recover surface normals accurately. In this paper, we propose MERLiN, an…
Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa
In recent years, the performance of novel view synthesis using perspective images has dramatically improved with the advent of neural radiance fields (NeRF). This study proposes tw…
PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism
Satoshi Ikehata
Existing deep calibrated photometric stereo networks basically aggregate observations under different lights based on the pre-defined operations such as linear projection and max p…
Saliency-based Multiple Region of Interest Detection from a Single 360° image
Yuuki Sawabe, Satoshi Ikehata, Kiyoharu Aizawa
360° images are informative -- it contains omnidirectional visual information around the camera. However, the areas that cover a 360° image is much larger than the human's field of…
Intersection Prediction from Single 360° Image via Deep Detection of Possible Direction of Travel
Naoki Sugimoto, Satoshi Ikehata, Kiyoharu Aizawa
Movie-Map, an interactive first-person-view map that engages the user in a simulated walking experience, comprises short 360° video segments separated by traffic intersections that…
Distortion-Aware Self-Supervised 360° Depth Estimation from A Single Equirectangular Projection Image
Yuya Hasegawa, Ikehata Satoshi, Kiyoharu Aizawa
360° images are widely available over the last few years. This paper proposes a new technique for single 360° image depth prediction under open environments. Depth prediction from…