5 citations · 12 across the 17 of their papers we have counts for
17 papers
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light System
Rukun Qiao, Hiroshi Kawasaki, Hongbin Zha
We introduced Temporally Incremental Disparity Estimation Network (TIDE-Net), a learning-based technique for disparity computation in mono-camera structured light systems. In our h…
ACT2G: Attention-based Contrastive Learning for Text-to-Gesture Generation
Hitoshi Teshima, Naoki Wake, Diego Thomas +3
Recent increase of remote-work, online meeting and tele-operation task makes people find that gesture for avatars and communication robots is more important than we have thought. I…
Generalization of pixel-wise phase estimation by CNN and improvement of phase-unwrapping by MRF optimization for one-shot 3D scan
Hiroto Harada, Michihiro Mikamo, Ryo Furukawa +2
Active stereo technique using single pattern projection, a.k.a. one-shot 3D scan, have drawn a wide attention from industry, medical purposes, etc. One severe drawback of one-shot…
Deep Gesture Generation for Social Robots Using Type-Specific Libraries
Hitoshi Teshima, Naoki Wake, Diego Thomas +3
Body language such as conversational gesture is a powerful way to ease communication. Conversational gestures do not only make a speech more lively but also contain semantic meanin…
MOTSLAM: MOT-assisted monocular dynamic SLAM using single-view depth estimation
Hanwei Zhang, Hideaki Uchiyama, Shintaro Ono +1
Visual SLAM systems targeting static scenes have been developed with satisfactory accuracy and robustness. Dynamic 3D object tracking has then become a significant capability in vi…
A Method For Adding Motion-Blur on Arbitrary Objects By using Auto-Segmentation and Color Compensation Techniques
Michihiro Mikamo, Ryo Furukawa, Hiroshi Kawasaki
When dynamic objects are captured by a camera, motion blur inevitably occurs. Such a blur is sometimes considered as just a noise, however, it sometimes gives an important effect t…
High-frequency shape recovery from shading by CNN and domain adaptation
Kodai Tokieda, Takafumi Iwaguchi, Hiroshi Kawasaki
Importance of structured-light based one-shot scanning technique is increasing because of its simple system configuration and ability of capturing moving objects. One severe limita…
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation
Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki +2
We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose. There are biases in 2D pose estimations that are due to differences betw…
Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern
Ryusuke Sagawa, Yusuke Higuchi, Hiroshi Kawasaki +2
This paper proposes a method of estimating micro-motion of an object at each pixel that is too small to detect under a common setup of camera and illumination. The method introduce…
Unified Underwater Structure-from-Motion
Kazuto Ichimaru, Yuichi Taguchi, Hiroshi Kawasaki
This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface. We provide unified reconstru…
Underwater Stereo using Refraction-free Image Synthesized from Light Field Camera
Kazuto Ichimaru, Hiroshi Kawasaki
There is a strong demand on capturing underwater scenes without distortions caused by refraction. Since a light field camera can capture several light rays at each point of an imag…
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database
Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki
Dense 3D shape acquisition of swimming human or live fish is an important research topic for sports, biological science and so on. For this purpose, active stereo sensor is usually…
Multi-scale CNN stereo and pattern removal technique for underwater active stereo system
Kazuto Ichimaru, Ryo Furukawa, Hiroshi Kawasaki
Demands on capturing dynamic scenes of underwater environments are rapidly growing. Passive stereo is applicable to capture dynamic scenes, however the shape with textureless surfa…
Representing a Partially Observed Non-Rigid 3D Human Using Eigen-Texture and Eigen-Deformation
Ryosuke Kimura, Akihiko Sayo, Fabian Lorenzo Dayrit +4
Reconstruction of the shape and motion of humans from RGB-D is a challenging problem, receiving much attention in recent years. Recent approaches for full-body reconstruction use a…
Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light
Yuki Shiba, Satoshi Ono, Ryo Furukawa +2
One of the solutions of depth imaging of moving scene is to project a static pattern on the object and use just a single image for reconstruction. However, if the motion of the obj…
Depth estimation using structured light flow -- analysis of projected pattern flow on an object's surface --
Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki
Shape reconstruction techniques using structured light have been widely researched and developed due to their robustness, high precision, and density. Because the techniques are ba…
Simultaneous independent image display technique on multiple 3D objects
Takuto Hirukawa, Marco Visentini-Scarzanella, Hiroshi Kawasaki +2
We propose a new system to visualize depth-dependent patterns and images on solid objects with complex geometry using multiple projectors. The system, despite consisting of convent…