5 citations · 9 across the 11 of their papers we have counts for
11 papers
Neural shape reconstruction from multiple views with static pattern projection
Ryo Furukawa, Kota Nishihara, Hiroshi Kawasaki
Active-stereo-based 3D shape measurement is crucial for various purposes, such as industrial inspection, reverse engineering, and medical systems, due to its strong ability to accu…
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation
Yuchen Che, Ryo Furukawa, Asako Kanezaki
Category-level articulated object pose estimation focuses on the pose estimation of unknown articulated objects within known categories. Despite its significance, this task remains…
Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models
Ryutaro Yamauchi, Jinya Sakurai, Ryo Furukawa +1
Reconstructing a continuous surface from an unoritented 3D point cloud is a fundamental task in 3D shape processing. In recent years, several methods have been proposed to address…
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…
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…
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…
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…
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…