he problem of segmenting images of objects with smooth surfaces is considered. The algorithm we present is a generalization of the ,K-means clustering algorithm to include spatial constraints and to account for local intensity variations

he problem of segmenting images of objects with smooth surfaces is considered. The algorithm we present is a generalization of the ,K-means clustering algorithm to include spatial constraints and to account for local intensity variations

基于空间几何约束的单目视觉物体测距 基于空间几何约束的单目视觉物体测距-Geometric constraints based on spatial objects ranging monocular vision Geometric constraints based on spatial objects ranging monocular vision