Article ID Journal Published Year Pages File Type
526416 Computer Vision and Image Understanding 2008 11 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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