Journal article
Computational Photography with Panoramic Sensors that Have Uniform Resolution with Respect to Unwarping Transformations
Journal of mathematical imaging and vision, v 46(1)
2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We address the problem of designing a computational photographic system for panoramic imaging, which employs a rotationally symmetric reflector and yet produces uniform resolution images. Our design is a catadiotpric sensor, whose key component is a rotationally symmetric mirror. Catadioptric sensors have already been designed that are equiresolution with respect to solid angle, but such sensors do not take into account the effect of unwarping transformations that are typically applied to the initially recorded images. The family of catadioptric sensors that we describe may be considered as realizing area preserving/scaling cylindrical projections. We present the derivations of the equations that describe such sensors and demonstrate in simulation their properties with respect to unwarping.
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Details
- Title
- Computational Photography with Panoramic Sensors that Have Uniform Resolution with Respect to Unwarping Transformations
- Creators
- R. Andrew Hicks - Drexel UniversityMeredith Coletta - Gateway (United Kingdom)
- Publication Details
- Journal of mathematical imaging and vision, v 46(1)
- Publisher
- Springer US
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mathematics
- Web of Science ID
- WOS:000318795100008
- Scopus ID
- 2-s2.0-84874939307
- Other Identifier
- 991019319082104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Mathematics, Applied