22 citations · 47 across the 20 of their papers we have counts for
20 papers
360CityGML: Realistic and Interactive Urban Visualization System Integrating CityGML Model and 360° Videos
Tatsuro Banno, Mizuki Takenawa, Leslie Wöhler +2
We introduce a novel urban visualization system that integrates 3D urban model (CityGML) and 360° walkthrough videos. By aligning the videos with the model and dynamically projecti…
Building and Evaluating a Realistic Virtual World for Large Scale Urban Exploration from 360° Videos
Mizuki Takenawa, Naoki Sugimoto, Leslie Wöhler +2
We propose to build realistic virtual worlds, called 360RVW, for large urban environments directly from 360° videos. We provide an interface for interactive exploration, where user…
PerFace: Metric Learning in Perceptual Facial Similarity for Enhanced Face Anonymization
Haruka Kumagai, Leslie Wöhler, Satoshi Ikehata +1
In response to rising societal awareness of privacy concerns, face anonymization techniques have advanced, including the emergence of face-swapping methods that replace one identit…
Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition
Satoshi Ikehata, Yuta Asano
In this paper, we present a groundbreaking spectrally multiplexed photometric stereo approach for recovering surface normals of dynamic surfaces without the need for calibrated lig…
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…
Investigating the Perception of Facial Anonymization Techniques in 360° Videos
Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa
In this work, we investigate facial anonymization techniques in 360° videos and assess their influence on the perceived realism, anonymization effect, and presence of participants.…
Privacy Protection and Video Manipulation in Immersive Media
Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa
In comparison to traditional footage, 360° videos can convey engaging, immersive experiences and even be utilized to create interactive virtual environments. Like regular recording…
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
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. However, this approach faces challenges in m…
Scalable, Detailed and Mask-Free Universal Photometric Stereo
Satoshi Ikehata
In this paper, we introduce SDM-UniPS, a groundbreaking Scalable, Detailed, Mask-free, and Universal Photometric Stereo network. Our approach can recover astonishingly intricate su…
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…
CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces
Satoshi Ikehata
Most conventional photometric stereo algorithms inversely solve a BRDF-based image formation model. However, the actual imaging process is often far more complex due to the global…
Scale Drift Correction of Camera Geo-Localization using Geo-Tagged Images
Kazuya Iwami, Satoshi Ikehata, Kiyoharu Aizawa
Camera geo-localization from a monocular video is a fundamental task for video analysis and autonomous navigation. Although 3D reconstruction is a key technique to obtain camera po…
From Bayesian Sparsity to Gated Recurrent Nets
Hao He, Bo Xin, David Wipf
The iterations of many first-order algorithms, when applied to minimizing common regularized regression functions, often resemble neural network layers with pre-specified weights.…
Panoramic Structure from Motion via Geometric Relationship Detection
Satoshi Ikehata, Ivaylo Boyadzhiev, Qi Shan +1
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…