GPU-accelerated Computer Vision - Robotics Institute Carnegie Mellon University
Graphical depiction of the GPU-accelerated Computer Vision project
GPU-accelerated Computer Vision
Project Head: Takeo Kanade

This project seeks to exploit the computational resources and parallelism offered by modern programmable GPUs in the context of computer vision.

We have been implementing a robust model-based three-dimensional tracking system on the GPU, operating at frame-rate on a humanoid robot during walking. Leveraging the computational resources of the GPU for vision has enabled us to ensure our tracker’s robustness to the large camera displacements, camera shake and severe aspect changes typically encountered during humanoid navigation.

Displaying 2 Publications

2008
GPU-accelerated Real-Time 3D Tracking for Humanoid Autonomy
Philipp Michel, Joel Chestnutt, Satoshi Kagami, Koichi Nishiwaki, James Kuffner, and Takeo Kanade
Conference Paper, Proceedings of JSME Robotics and Mechatronics Conference (ROBOMEC '08), June, 2008
2007
GPU-accelerated Real-Time 3D Tracking for Humanoid Locomotion and Stair Climbing
Philipp Michel, Joel Chestnutt, Satoshi Kagami, Koichi Nishiwaki, James Kuffner, and Takeo Kanade
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 463 - 469, October, 2007

current head

Portrait of Takeo Kanade
Takeo Kanade

current staff

Portrait of Joel Chestnutt
Joel Chestnutt
Portrait of Philipp Michel
Philipp Michel

current contact

Portrait of Philipp Michel
Philipp Michel

past staff

  • Satoshi Kagami
  • James Kuffner