Doctoral Dissertations
Date of Award
12-1989
Degree Type
Dissertation
Degree Name
Doctor of Philosophy
Major
Electrical Engineering
Major Professor
Rafael C. Gonzales
Committee Members
M. A. Abidi, Dragana Brzakovic, R. E. Bodenheimer, M. G Thomason
Abstract
This dissertation develops techniques for the segmentation of three-dimensional range images in a parallel environment. An iterative parallel range segmentation process is used to create a view-independent description of the input range data. The system characterizes the underlying scene by using a hierarchical approach where surfaces are segmented using low-order characteristics, under the assumption that most object volumes are bound by relatively smooth surfaces. A parallel connected-component analyzer, implemented by a new algorithm for coarse-grained distributed-memory multiprocessors, is the central element of the system. Furthermore, a general model for distributed-memory algorithms using n-cube topologies is developed and used in the analysis of algorithms necessary for low-level computer vision. This model explicitly relates the concepts of speed-up, efficiency, and load balancing, and provides criteria for the optimum assignment of cube size. To minimize the communication overhead and balance computation with communication, low-level computer vision functions are classified as local or global and parallelization strategies developed for each case.
Recommended Citation
Pérez, Arnulfo Pérez, "Parallel segmentation of range images on a hypercube-connected distributed computer. " PhD diss., University of Tennessee, 1989.
https://trace.tennessee.edu/utk_graddiss/11737