Exploiting geometric and spatial constraints for vision and lighting applications

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174842_Wang_rpi_0185E_10485.pdf (26.62 MB)
Authors
Wang, Quan
Issue Date
2014-12
Type
Electronic thesis
Thesis
Language
ENG
Keywords
Computer Systems engineering
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Abstract
In this thesis, we propose three original methods for computer vision and smart lighting applications: the Active Geometric Shape Model (AGSM) method, the Semantic Context Forests method, and the Color-Sensor-Based Occupancy Sensing (COSBOS) method. In all these methods, we exploit either geometric constraints or spatial constraints that are intuitive in the corresponding problems.
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December 2014
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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https://hdl.handle.net/20.500.13015/1321
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RPI Theses Online (Complete)