Camera and Light Source Placement: A Multi-Objective Approach
Computer Vision, Pattern Recognition, Image Processing and Graphics(2011)
摘要
Optimal placement of visual sensors along with good lighting conditions is indispensable for the successful execution of surveillance applications. Limited field-of-view, depth-of-field, occlusion due to presence of different objects in the scene form the major constraints for visual sensor placement. While over/under exposed objects, shadowing and light rays directly incident on the camera lens are some of the constraints for light source placement. Because of the nature of the constraints and complexity of the problem, the placement problem is considered to be a multi-objective global optimization problem. The paper outlines the camera and light source location optimization problem with multiple objective functions. Multi-Objective Genetic Algorithm is used to maximize the camera coverage with optimum illumination of the sensing space.
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关键词
multi-objective approach,light source placement,light source location optimization,visual sensor,multi-objective global optimization problem,optimal placement,camera lens,placement problem,camera coverage,light ray,visual sensor placement,sensors,multi objective optimization,visualization,optimization problem,lighting,field of view,global optimization,depth of field,optimization,genetic algorithms,solid modeling,image sensors
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