Computing Occlusion-Free Viewpoints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Camera Placement for Automated Surveillance Tasks
Journal of Intelligent and Robotic Systems
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
International Journal of Computer Vision
The Journal of Machine Learning Research
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This paper presents a mathematical basis for judging the quality of camera and projector placement in 3D for structured light systems. Two important quality metrics are considered: visibility, which measures how much of the target object is visible; and scale, which measures the error in detecting the visible portions. A novel method for computing each of these metrics is presented. An example is discussed which demonstrates use of these two metrics. The proposed techniques have direct applicability to the task of monitoring patient safety for radiation therapy applications