Lecture-1

Lecture-1 - Computer Vision Story Mubarak Shah

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Unformatted text preview: Computer Vision Story Mubarak Shah http://www.cs.ucf.edu/courses/cap6412/2003/Lecture-1.pdf Computer Vision Computer Vision deals with recovery and use of information about objects present in a scene from images of the scene. Computer Vision Computer Vision emerged from: Image Processing Pattern Recognition Computer Vision Computer Vision started as an AI problem. AI Artificial Intelligence is the study of mental faculties through the use of computational models. Search NLU Speech Recognition Games Computer Vision Expert Systems Image Understanding To understand a single image of a scene, locate and identify objects, their structure, and spatial arrangements, and relationships with other objects. Different Levels Low Level: Extraction of symbolic information Intermediate Level High Level: Interpretation High Level Vision Image Understanding Scene Interpretation Line Drawings Interpretation of Line Drawing MIT Copy Demo What happened? In order to do line interpretation, need to extract lines from images Horn-Binford line finder Solve low level problems before high level problems can be solved. Horn: Physics Based Vision Optics Reflectance Illumination Marr Approach Human vision system Shape from X: Recover 3-D from 2-D Quantitative vs Qualitative Shape from X Shading Stereo Texture Motion Contours Shape from Texture Shape from Shading Shape from Stereo Marrs Three Levels Primal Sketch Marr-Hildreth edge detector 2.5 Sketch Marr-Poggio stereo algorithm Grimsons stereo algorithm Ullmans structure from motion Pentland, Witkin, Kass, Terzopoulos: surface reconstruction 3-D Generalized Cylinders: Nishihara After 30 Years of Research Stereo is almost a solved problem Structure from motion is very hard Shape from shading is not interesting/applicable Range images did not help much Not much progress in understanding/recognition/interpretation Motion-Based Recognition A longer sequence leads to recognition of higher level motions, like walking or running,which consist of a complex and coordinated series of events that cannot be understood by looking at only a few frames. 3-D is not necessary for recognition Use motion directly for recognition vs Recognition followed by reconstruction Video Understanding Gestures Activities Facial expressions Visual Speech Applications Video Surveillance and Monitoring Perceptual User Interface Model-based Video Compression Augmented Reality and Video Games Synthesis of Video Sequences Copy Demo Using A Video Sequence: [bread, lettuce, ham, bread] Making a Sandwich A picture is worth a thousand words. A word is worth a thousand pictures....
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Lecture-1 - Computer Vision Story Mubarak Shah

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