第四章主要介绍了视觉里程计在宽基线立体匹配中的应用。
Chapter IV introduces the application of visual odometry in wide baseline stereo matching.
视觉里程计可以求取出准确的运动参数，从而可以利用这些参数对宽基线立体匹配中的立体图像对进行有效的校正。
Visual odometry can get accurate motion information, so it can be used to rectify the stereo images in wide baseline stereo matching system.
移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
并基于该模型建立里程计和PT Z视觉定位的框架。
A localization framework combining odometer and PTZ vision based on real-time position credibility was designed.
针对视觉定位及里程计视觉复合定位分别进行了实验，结果验证了该方法的有效性和实用性。
An application experiment of vision localization and localization using odometer and PTZ vision was carried out. The validity and practicability of the method are confirmed.
针对视觉定位及里程计视觉复合定位分别进行了实验，结果验证了该方法的有效性和实用性。
An application experiment of vision localization and localization using odometer and PTZ vision was carried out. The validity and practicability of the method are confirmed.
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