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Range estimation by optical differentiation.
- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Farid, Hany Samir.
- Language:
- English
- Subjects (All):
- Computer science.
- Electrical engineering.
- 0544.
- 0984.
- Penn dissertations--Computer and information science.
- Computer and information science--Penn dissertations.
- Local Subjects:
- Penn dissertations--Computer and information science.
- Computer and information science--Penn dissertations.
- 0544.
- 0984.
- Physical Description:
- 148 pages
- Contained In:
- Dissertation Abstracts International 58-03B.
- System Details:
- Mode of access: World Wide Web.
- text file
- Summary:
- We describe a novel formulation of the range recovery problem based on computation of the differential variation in image intensities with respect to changes in camera position (or aperture size). This method uses a single stationary camera and a pair of calibrated optical masks to directly measure this differential quantity. The subsequent computation of the range image involves simple arithmetic combinations, and is suitable for real-time implementation. Both the theoretical and practical implications of this formulation are addressed.
- Notes:
- Thesis (Ph.D. in Computer and Information Science) -- University of Pennsylvania, 1997.
- Source: Dissertation Abstracts International, Volume: 58-03, Section: B, page: 1365.
- Supervisor: Eero P. Simoncelli.
- Local Notes:
- School code: 0175.
- ISBN:
- 9780591363531
- Access Restriction:
- Restricted for use by site license.
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