Multiresolution object detection and delineation

This paper describes methods of detecting and extracting (“delineating,” i.e., segmenting) compact objects from an image. The methods are designed for implementation on an exponentially tapering “pyramid” of processors, and require only O (log n ) time for an n by n image. Objects are detected using an “interest measure” derived from local comparisons between fathers and sons in the pyramid. They are extracted by a top-down tree growing process in which the leaves of the tree are the pixels belonging to the detected object.