Parallel Algorithms For Real-Time Vision

Many types of image processing operations can be performed sequentially at frame rates, but many of the global operations needed in computer vision systems cannot be performed in real time unless suitable parallel hardware is available. This paper considers an important class of such operations, involving image segmentation by detection and extraction of global regions and features, and describes algorithms for carrying out these operations on parallel "pyramid" hardware.