no code implementations • 23 Mar 2021 • Daichi Kawakami, Ryoichi Ishikawa, Menandro Roxas, Yoshihiro Sato, Takeshi Oishi
As the number of the robot's degrees of freedom increases, the implementation of robot motion becomes more complex and difficult.
no code implementations • 13 Nov 2020 • Jan Hausberg, Ryoichi Ishikawa, Menandro Roxas, Takeshi Oishi
We propose a dynamically adaptive kernel-based method for drone detection and tracking using the LiDAR.
no code implementations • 25 Jun 2020 • Yasuhiro Yao, Menandro Roxas, Ryoichi Ishikawa, Shingo Ando, Jun Shimamura, Takeshi Oishi
Our experiments show that our method can outperform previous unsupervised and semi-supervised depth completion methods in terms of accuracy.
1 code implementation • 7 May 2020 • Richard Sahala Hartanto, Ryoichi Ishikawa, Menandro Roxas, Takeshi Oishi
In this paper, we present a method for simultaneous articulation model estimation and segmentation of an articulated object in RGB-D images using human hand motion.
no code implementations • 17 Sep 2019 • Menandro Roxas, Takeshi Oishi
We also propose a fast way of generating the trajectory field without increasing the processing time compared to conventional rectified methods.
no code implementations • 30 Jul 2017 • Menandro Roxas, Tomoki Hori, Taiki Fukiage, Yasuhide Okamoto, Takeshi Oishi
Real-time occlusion handling is a major problem in outdoor mixed reality system because it requires great computational cost mainly due to the complexity of the scene.