Overview

This work explores a parallel implementation of geometric hashing on the Connection Machine. It delves into the algorithmic and computational aspects of geometric hashing, specifically focusing on how it can be efficiently implemented using parallel processing techniques. This study is relevant for researchers and practitioners interested in computer science, parallel processing, and advanced algorithm design. The document provides insights into leveraging the architecture of the Connection Machine for optimizing the performance of geometric hashing algorithms. It addresses the challenges and opportunities presented by parallelizing this computational task, offering valuable knowledge for those working with high-performance computing systems and complex pattern recognition problems. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Full Product Details

9781024204070

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available