Exploiting geometric and spatial constraints for vision and lighting applications

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.