Matching ‘sticks, plates and blobs’ objects using geometric and relational constraints

摘要

A recognition scheme using relational and rough geometric information about three-dimensional man-made objects to recognize instances of the objects in single perspectivenormal views of scenes is described. Experiments performed using the matching scheme show that, in most cases, the object in the view can be identified correctly and reasonable estimates can be made of the unknown camera position responsible for generating the given view.The technique is based on the fact that the camera position constrains the appearance of the various parts of the object. The propagation of these constraints from one planar object surface to another through the projection equations is worked out. This constraint propagation guides the matching scheme in the development of the interpretation of the scene. The results provide an estimate of the camera position within 20° of the actual location.