3 papers
cs.CV2025
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…
cs.RO2025
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…
eess.IV2025
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…