Integrating Graphics and Vision for Object Recognitionserves as a reference for electrical engineers and computer scientistsresearching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sidesof the same coin. In graphics, algorithms are given knowledge aboutthe world in the form of models, cameras, lighting, etc., and infer(or render) an image of a scene. In vision, the process is the exactopposite: algorithms are presented with an image, and infer (orinterpret) the configuration of the world. This work focuses on usingcomputer graphics to interpret camera images: using iterativerendering to predict what should be visible by the camera and thentesting and refining that hypothesis. Features of the book include:Manyillustrations to supplement the text;A novel approach to theintegration of graphics and vision;Genetic algorithms forvision;Innovations in closed loop object recognition. Integrating Graphics and Vision for Object Recognition will beof interest to research scientists and practitioners working in fieldsrelated to the topic. It may also be used as an advanced-levelgraduate text.