Stereo vision provides the capability of determining three-dimensional distance of objects from a stereo pair of images. The usual approach is to first identify corresponding features between the two images, then interpolate to obtain a complete distance or depth map. Traditionally, finding the corresponding features has been considered to be the most difficult problem. Occluding and ridge contours have not been explicitly detected and this has made surface interpolation difficult. The approach described is novel in that it integrates the processes of feature matching, contour detection, and surface interpolation. Integration is necessary to ensure that the detected surface is smooth. The surface interpolation process takes into account the detected occluding and ridge contours in the scene; interpolation is performed within regions enclosed by these contours. Planar and quadratic patches are used as local models of the surface. Occluded regions in the image are identified and are not used for matching and interpolation. The approach described is fairly domain-independent since it uses no constraint other than the assumption of piecewise smoothness.
|Original language||English (US)|
|Title of host publication||Unknown Host Publication Title|
|Number of pages||11|
|State||Published - 1987|
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