Rin-ichiro Taniguchi — accepted AI-conference papers

2020

TetraTSDF: 3D Human Reconstruction From a Single Image With a Tetrahedral Outer Shell

Hayato Onizuka, Zehra Hayirci, Diego Thomas, Akihiro Sugimoto, Hideaki Uchiyama, Rin-ichiro Taniguchi

CVPR 2020poster

Recovering the 3D shape of a person from its 2D appearance is ill-posed due to ambiguities. Nevertheless, with the help of convolutional neural networks (CNN) and prior knowledge on the 3D human body, it is possible to overcome such ambiguities to recover detailed 3D shapes of human bodies from sing…

Cited by 48 PDF ↗code ↗Scholar ↗

2018

Joint optimization for compressive video sensing and reconstruction under hardware constraints

Michitaka Yoshida, Akihiko Torii, Masatoshi Okutomi, Kenta Endo, Yukinobu Sugiyama, Rin-ichiro Taniguchi +1

ECCV 2018poster

Compressive video sensing is the process of encoding multiple sub-frames into a single frame with controlled sensor exposures and reconstructing the sub-frames from the single compressed frame. It is known that spatially and temporally random exposures provide the most balanced compression in terms…

Cited by 41 Source ↗PDF ↗Scholar ↗

2018

Live Structural Modeling Using RGB-D SLAM

Nicolas Olivier, Hideaki Uchiyama, Masashi Mishima, Diego Thomas, Rin-Ichiro Taniguchi, Rafael Roberto +2

ICRA 2018poster

This paper presents a method for localizing primitive shapes in a dense point cloud computed by the RGB-D SLAM system. To stably generate a shape map containing only primitive shapes, the primitive shape is incrementally modeled by fusing the shapes estimated at previous frames in the SLAM, so that…

Cited by 7 Source ↗Scholar ↗

2016

Augmented Blendshapes for Real-Time Simultaneous 3D Head Modeling and Facial Motion Capture

Diego Thomas, Rin-ichiro Taniguchi

CVPR 2016poster

We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our framework is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's head. Anyone's head can be instantly reconstructed and his facial…

Cited by 32 PDF ↗Scholar ↗

2015

Shape and Light Directions From Shading and Polarization

Trung Ngo Thanh, Hajime Nagahara, Rin-ichiro Taniguchi

CVPR 2015poster

We introduce a method to recover the shape of a smooth dielectric object from polarization images taken with a light source from different directions. We present two constraints on shading and polarization and use both in a single optimization scheme. This integration is motivated by the fact that p…

Cited by 88 Source ↗PDF ↗Scholar ↗

2015

TransCut: Transparent Object Segmentation From a Light-Field Image

Yichao Xu, Hajime Nagahara, Atsushi Shimada, Rin-ichiro Taniguchi

ICCV 2015poster

The segmentation of transparent objects can be very useful in computer vision applications. However, because they borrow texture from their background and have a similar appearance to their surroundings, transparent objects are not handled well by regular image segmentation methods. We propose a met…

Cited by 139 PDF ↗Scholar ↗