Techniques for Autonomous, Off-Road Navigation
IEEE Intelligent Systems
Predicting Disparity Windows for Real-Time Stereo
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Combining EMS-Vision and Horopter Stereo for Obstacle Avoidance of Autonomous Vehicles
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
International Journal of Computer Vision
Detailed Real-Time Urban 3D Reconstruction from Video
International Journal of Computer Vision
Recognition of obstacles on structured 3D background
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
| Hi-index | 0.00 |
A key to developing computationally efficient stereo vision is the incorporation of intelligent control. Stereo is most effective when it is able to "focus" its analysis on regions and details of a scene that are important to the task at hand, while avoiding less important regions and unnecessary detail. The paper describes two methods for electronically "focusing" stereo measurement through simple image pre-processing. The first allows measurement sensitivity to be adjusted. The second allows the shape of the 3D region in which measurements are gathered to be matched to the shape of surfaces in the scene.