Fast 3D boundary computation from occluding contour motion

Presents a fast method for computing a bounding volume within which an observed object must lie from the observed motion of the occluding contour during a straight-line motion of the camera. The bounding volume is represented as a set of planar cross sections each consisting of multiple convex polygons within which the object lies. The algorithm´s worst-case runtime performance is O(nmk) operations, where n is the number of viewpoints used, m is the number of polygons created during the execution of the algorithm, and k is a parameter dependent on the geometric complexity of the object being viewed. Experimental examples are demonstrated; bounding polygon computation from sampled contours in 20 images required less than one second on a 50 MHz i486 CPU