An introduction to the concepts and applications in computer vision topics include cameras and projection models low level image processing methods such as filtering and edge detection mid level vision topics such as segmentation and clustering shape reconstruction from stereo as well as high level vision tasks such as object recognition scene recognition face detection and human . Synthesis lectures on computer vision is edited by grard medioni of the university of southern california and sven dickinson of the university of toronto the series publishes 50 to 150 page publications on topics pertaining to computer vision and pattern recognition. This course delivers a systematic overview of computer vision emphasizing two key issues in modeling vision space and meaning we will study the fundamental theories and important algorithms of computer vision together starting from the analysis of 2d images and culminating in the holistic understanding of a 3d scene. Computer vision a modern approach 2nd edition prentice hall 2011 r hartley and a zisserman multiple view geometry in computer vision academic press 2002 d hoiem and s savarese representations and techniques for 3d object recognition and scene interpretation synthesis lecture on artificial intelligence and machine learning
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