Exploiting geometric and spatial constraints for vision and lighting applications
Authors
Wang, Quan
ORCID
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Other Contributors
Boyer, Kim L.
Ji, Qiang, 1963-
Radke, Richard J., 1974-
Stewart, Charles V.
Ji, Qiang, 1963-
Radke, Richard J., 1974-
Stewart, Charles V.
Issue Date
2014-12
Keywords
Computer Systems engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
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.
Description
December 2014
School of Engineering
School of Engineering
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.