8 citations · 14 across the 6 of their papers we have counts for
7 papers · 1 filter
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…
Understanding Action Sequences based on Video Captioning for Learning-from-Observation
Iori Yanokura, Naoki Wake, Kazuhiro Sasabuchi +2
Learning actions from human demonstration video is promising for intelligent robotic systems. Extracting the exact section and re-observing the extracted video section in detail is…
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…
LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry
Ryoichi Ishikawa, Takeshi Oishi, Katsushi Ikeuchi
In this paper, we propose a method of targetless and automatic Camera-LiDAR calibration. Our approach is an extension of hand-eye calibration framework to 2D-3D calibration. By usi…
Offline and Online calibration of Mobile Robot and SLAM Device for Navigation
Ryoichi Ishikawa, Takeshi Oishi, Katsushi Ikeuchi
Robot navigation technology is required to accomplish difficult tasks in various environments. In navigation, it is necessary to know the information of the external environments a…
Multiview Rectification of Folded Documents
Shaodi You, Yasuyuki Matsushita, Sudipta Sinha +2
Digitally unwrapping images of paper sheets is crucial for accurate document scanning and text recognition. This paper presents a method for automatically rectifying curved or fold…