Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/24622
Title: | 3D Surface Reconstruction from Multi-Camera Stereo with Disturbed Processing |
Authors: | Arora, Gorav |
Advisor: | Capson, David |
Department: | Electrical and Computer Engineering |
Keywords: | 3D surface reconstruction;multi-camera stereo;distributed processing |
Publication Date: | Mar-2001 |
Abstract: | In this thesis a system which extracts 3D surfaces of arbitrary scenes under natural illumination is constructed using low-cost, off-the-shelf components. The system is implemented over a network of workstations using standardized distributed software technology. The architecture of the system is highly influenced by the performance requirements of multimedia applications which require 3D computer vision. Visible scene surfaces are extracted using a passive multi-baseline stereo technique. The implementation efficiently supports any number of cameras in arbitrary positions through an effective rectification strategy. The distributed software components interact through CORBA and work cooperatively in parallel. Experiments are performed to assess the effects of various parameters on the performance of the system and to demonstrate the feasibility of this approach. |
URI: | http://hdl.handle.net/11375/24622 |
Appears in Collections: | Digitized Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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arora_gorav_2001Mar_masters.pdf | 28.16 MB | Adobe PDF | View/Open |
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