6 citations · 12 across the 5 of their papers we have counts for
5 papers
DeMapGS: Simultaneous Mesh Deformation and Surface Attribute Mapping via Gaussian Splatting
Shuyi Zhou, Shengze Zhong, Kenshi Takayama +2
We propose DeMapGS, a structured Gaussian Splatting framework that jointly optimizes deformable surfaces and surface-attached 2D Gaussian splats. By anchoring splats to a deformabl…
Stereo-LiDAR Fusion by Semi-Global Matching With Discrete Disparity-Matching Cost and Semidensification
Yasuhiro Yao, Ryoichi Ishikawa, Takeshi Oishi
We present a real-time, non-learning depth estimation method that fuses Light Detection and Ranging (LiDAR) data with stereo camera input. Our approach comprises three key techniqu…
Robust LiDAR-Camera Calibration with 2D Gaussian Splatting
Shuyi Zhou, Shuxiang Xie, Ryoichi Ishikawa +1
LiDAR-camera systems have become increasingly popular in robotics recently. A critical and initial step in integrating the LiDAR and camera data is the calibration of the LiDAR-cam…
NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface
Chengrui Zhu, Ryoichi Ishikawa, Masataka Kagesawa +3
Reconstructing three-dimensional (3D) structures from two-dimensional (2D) X-ray images is a valuable and efficient technique in medical applications that requires less radiation e…
CAPT: Category-level Articulation Estimation from a Single Point Cloud Using Transformer
Lian Fu, Ryoichi Ishikawa, Yoshihiro Sato +1
The ability to estimate joint parameters is essential for various applications in robotics and computer vision. In this paper, we propose CAPT: category-level articulation estimati…