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1.A stereoscopic camera is used for stereo-photography.
立体相机是用来立体摄影的。收藏指正
2.In a complete stereo vision system, there are six modules, which are images capturing, camera adjustment, feature extraction, stereo matching, 3-D information estimation, and post-processing.
一个完整的立体视觉系统可分为图像获取、摄像机校正、图像特征提取、立体匹配、三维信息恢复和后处理等模块。收藏指正
3.This paper proposes a practical method of automatic acquisition cognominal points in system of binocular stereo vision , which provides necessary parameter for camera relative calibration , moreover it presents farther study in acquiring and matching feature points .
提出了一种新的方法来进行双目立体视觉系统同名点的自动提取,对现有的特征点匹配方法进行了改进,通过对同名点的自动提取,获取了摄像机相对校准所必需的参数.收藏指正
4.The main steps include camera calibration, the matching of motion and stereo images, 3-D feature point correspondences and resolving the motion parameters.
其主要步骤包括相机检校、运动与立体影像的匹配、运动前后三维特征点的对应以及运动参数的求解。收藏指正
5.In the application of mini-micro-robot visual perception,there is a need for fish-eye lenses for capturing wide field of view for navigation.Though fish-eye lenses provide a wide field of view (~180°),they introduce significant distortion in images and the acquired images are quite warped,which makes conventional camera calibration algorithms no longer work well.This paper presents an accurate calibration framework for fish-eye lens (a high distortion lens) camera stereo vision system.The accurate calibration model is formulated with radial distortion,decentering distortion and thin prism distortion based on the fisheye deformation model.Using fish-eye and non-linear camera model,the author employs Levenberg-Marquardt method to realize precise non-linear calibration for wide-view-scene dense depth image recovery.
鱼眼镜头成像立体视觉系统在微小型机器人视觉导航和近距离大视场物体识别与定位中有着广泛的应用.尽管鱼眼镜头摄像机具有很大的视场角(接近180°),但同时也引入严重的图像变形,常规的摄像机标定方法无法使用.该文提出一种标定鱼眼镜头摄像机立体视觉系统的方法.在鱼眼镜头变形模型的基础上,通过考虑鱼眼镜头成像的径向变形、偏心变形和薄棱镜变形,建立了鱼眼镜头成像的精确成像模型,然后,利用非线性迭代算法,精确求解摄像机外部参数、内部参数.实验表明,使用该方法得到的立体视觉系统参数满足精确恢复大场景稠密深度图的要求.收藏指正
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