22 citations · 47 across the 20 of their papers we have counts for
7 papers · 1 filter
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…
Universal Photometric Stereo Network using Global Lighting Contexts
Satoshi Ikehata
This paper tackles a new photometric stereo task, named universal photometric stereo. Unlike existing tasks that assumed specific physical lighting models; hence, drastically limit…
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…
Field-of-View IoU for Object Detection in 360° Images
Miao Cao, Satoshi Ikehata, Kiyoharu Aizawa
360° cameras have gained popularity over the last few years. In this paper, we propose two fundamental techniques -- Field-of-View IoU (FoV-IoU) and 360Augmentation for object dete…