Document Type
Thesis
Date of Award
Fall 1-31-1997
Degree Name
Master of Science in Computer Science - (M.S.)
Department
Computer and Information Science
First Advisor
Jason T. L. Wang
Second Advisor
Peter A. Ng
Third Advisor
Marvin K. Nakayama
Abstract
An approach to designing very fast algorithms for tackling the problem of approximate object matching in very large databases of high-dimensional objects is proposed. Given are a target object C and a database D containing information about a set of high-dimensional objects each of which is represented as a set of points. Our algorithms have an off-line object preprocessing (shape representation) phase and a recognition phase. The described algorithms determine those objects from D which are the closest to object C, according to delete or insert some points, move and rotation. All of these can be achieved very efficiently with the help of geometric hashing techniques. This scheme has been successfully applied to a real scientific database.
Recommended Citation
Lu, Joyce Ye, "Application of geometric hashing techniques to retrieval of high dimensional objects in scientific databases" (1997). Theses. 1018.
https://digitalcommons.njit.edu/theses/1018
