Date of Award

2013

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

School of Computer Science and Engineering

First Advisor

Schubert, Keith Evan

Second Advisor

Gomez, Ernesto

Third Advisor

Botting, Dick, and Schulte, Reinhard

Abstract

The purpose of this study was to develop computationally efficient hull detection techniques appropriate for image reconstruction using sparse matrices. The hull detection techniques investigated were space carving (SC), modified space carving (MSC), and space modeling (SM) and these were compared to the cone-beam version of filtered back projection (FBP) algorithm in terms of their computation time and the quality of the object hull they produced.

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