Finding the Largest Unambiguous Component of Stereo Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Distinctiveness Maps for Image Matching
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
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Omnidirectional Stereo Vision with a Hiperbolic Double Lobed Mirror
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
A versatile method for omnidirectional stereo camera calibration based on BP algorithm
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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This paper deals with the problem of finding the largest navigable areas around a mobile robot, which is important for navigation and action planning. We propose a method to obtain reliable dense 3D maps using a novel omnidirectional stereo vision system. The vision system is composed of a perspective camera and two hyperbolic mirrors. Once the system has been calibrated and two image points respectively projected by upper and below mirrors are matched, the 3D coordinate of the space point can be acquired by means of triangulation. To achieve the largest reliable dense matching, our method are divided into three steps. First reliable FX-dominant matching; then feature matching and ambiguous removal; finally the remaining points between features are matched using dynamic time warping(DTW) with modified energy functions adapted well to our system. Experiments show that this proposed vision system is feasible as a practical stereo sensor for accurate 3D map generation.