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Computer stereo vision is the extraction of 3D information from digital images, such as obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examination of the relative positions of objects in the two panels. This is similar to the biological process Stereopsis. == Outline == In traditional stereo vision, two cameras, displaced horizontally from one another are used to obtain two differing views on a scene, in a manner similar to human binocular vision. By comparing these two images, the relative depth information can be obtained, in the form of disparities, which are inversely proportional to the differences in distance to the objects. To compare the images, the two views must be superimposed in a stereoscopic device, the image from the right camera being shown to the observer's right eye and from the left one to the left eye. In real camera systems however, several pre-processing steps are required. # The image must first be removed of distortions, such as barrel distortion to ensure that the observed image is purely projectional. # The image must be projected back to a common plane to allow comparison of the image pairs, known as image rectification. # An information measure which compares the two images is minimized. This gives the best estimate of the position of features in the two images, and creates a disparity map. # Optionally, the disparity as observed by the common projection, is converted back to the height map by inversion. Utilising the correct proportionality constant, the height map can be calibrated to provide exact distances. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「computer stereo vision」の詳細全文を読む スポンサード リンク
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