Some Aspects of Zoom Lens Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theory and Practice of Projective Rectification
International Journal of Computer Vision
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Dense Structure-from-Motion: An Approach Based on Segment Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Cylindrical rectification to minimize epipolar distortion
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Binocular, Foveated Active Vision System
A Binocular, Foveated Active Vision System
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Stereo Localization Based on Network's Uncalibrated Camera Pairs
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Multiresolution and wide-scope depth estimation using a dual-PTZ-camera system
IEEE Transactions on Image Processing
Self-calibration of spherical rectification for a PTZ-stereo system
Image and Vision Computing
Stereo rectification of uncalibrated and heterogeneous images
Pattern Recognition Letters
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The research of traditional stereo vision is mainly based on static cameras. As PTZ (Pan-Tilt-Zoom) cameras are able to obtain multi-view-angle and multi-resolution information, they have received more and more concern in both research and real application. Stereo vision using dual-PTZ-camera system, compared with using dual-static-camera system, is much more challenging. Dual-PTZ-camera system could have more extensive scope of application by combining the merits of PTZ-camera. However, few works about stereo vision with dual-PTZ-camera system were found in literature. In this paper, we propose a novel stereo rectification method for dual-PTZ-camera system, which is essential to greatly increase the efficiency of stereo matching. In dual-PTZ-camera system, the inconsistence of intensities in two camera images, which is caused by camera's self-adjustment of intensity under different illumination condition with different view fields, is also a challenge in stereo matching. In order to deal with this problem, we propose a two-step based stereo matching strategy. Experimental results show that our approach works well.