Search Results for author: Satoshi Ikehata

Found 13 papers, 3 papers with code

Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes

no code implementations24 Mar 2024 Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

Recent advancements in the study of Neural Radiance Fields (NeRF) for dynamic scenes often involve explicit modeling of scene dynamics.

Segmentation

Scalable, Detailed and Mask-Free Universal Photometric Stereo

1 code implementation CVPR 2023 Satoshi Ikehata

In this paper, we introduce SDM-UniPS, a groundbreaking Scalable, Detailed, Mask-free, and Universal Photometric Stereo network.

Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images

no code implementations7 Dec 2022 Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

We propose two non-uniform ray sampling schemes for NeRF to suit 360{\textdegree} images - distortion-aware ray sampling and content-aware ray sampling.

ERP Novel View Synthesis

PS-Transformer: Learning Sparse Photometric Stereo Network using Self-Attention Mechanism

1 code implementation21 Nov 2022 Satoshi Ikehata

While they are effective with the dense capture, simple first-order operations often fail to capture the high-order interactions among observations under small number of different lights.

Universal Photometric Stereo Network using Global Lighting Contexts

no code implementations CVPR 2022 Satoshi Ikehata

This paper tackles a new photometric stereo task, named universal photometric stereo.

Intersection Prediction from Single 360° Image via Deep Detection of Possible Direction of Travel

no code implementations10 Apr 2022 Naoki Sugimoto, Satoshi Ikehata, Kiyoharu Aizawa

We constructed a large-scale 360{\deg} Image Intersection Identification (iii360) dataset for training and evaluation where 360{\deg} videos were collected from various areas such as school campus, downtown, suburb, and china town and demonstrate that our PDoT-based method achieves 88\% accuracy, which is significantly better than that achieved by the direct naive binary classification based method.

Binary Classification

CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces

1 code implementation ECCV 2018 Satoshi Ikehata

Most conventional photometric stereo algorithms inversely solve a BRDF-based image formation model.

Scale Drift Correction of Camera Geo-Localization using Geo-Tagged Images

no code implementations26 Aug 2018 Kazuya Iwami, Satoshi Ikehata, Kiyoharu Aizawa

Camera geo-localization from a monocular video is a fundamental task for video analysis and autonomous navigation.

3D Reconstruction Autonomous Navigation +1

Panoramic Structure from Motion via Geometric Relationship Detection

no code implementations5 Dec 2016 Satoshi Ikehata, Ivaylo Boyadzhiev, Qi Shan, Yasutaka Furukawa

This paper addresses the problem of Structure from Motion (SfM) for indoor panoramic image streams, extremely challenging even for the state-of-the-art due to the lack of textures and minimal parallax.

Relationship Detection

Structured Indoor Modeling

no code implementations ICCV 2015 Satoshi Ikehata, Hang Yang, Yasutaka Furukawa

The grammar then drives a principled new reconstruction algorithm, where the grammar rules are sequentially applied to recover a structured model.

Photometric Stereo using Constrained Bivariate Regression for General Isotropic Surfaces

no code implementations CVPR 2014 Satoshi Ikehata, Kiyoharu Aizawa

This paper presents a photometric stereo method that is purely pixelwise and handles general isotropic surfaces in a stable manner.

regression

Cannot find the paper you are looking for? You can Submit a new open access paper.