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CMPUT 617 (Topics in Computing Science): Advanced Image Analysis

CMPUT 617 (Topics in Computing Science): Advanced Image Analysis. Nilanjan Ray Fall 2012 Computing Science University of Alberta. Overview. Types of image processing/analysis and computer vision: Low level High level

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CMPUT 617 (Topics in Computing Science): Advanced Image Analysis

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  1. CMPUT 617 (Topics in Computing Science): Advanced Image Analysis Nilanjan Ray Fall 2012 Computing Science University of Alberta

  2. Overview • Types of image processing/analysis and computer vision: • Low level • High level • In this course, we will study some low level tasks in image processing/computer vision • Emphasis will be given on graph algorithms to accomplish some of the low level tasks; we will also discuss / compare other types of algorithms

  3. Low Level tasks • For the lack of a proper definition, I will use some examples: • Edge detection • Segmentation (pixel labeling) • Object boundary delineation • Feature extraction (corners, SIFT, and many others) • Object tracking • Image registration • Optical flow/motion estimation • … • Commercial successes • Photoshop • Various medical image processing/analysis software An example: Brain tumor image detection using symmetry

  4. High level tasks • Again for the lack of a definition, let’s look at some examples: • Visual recognition tasks • Face detection/recognition • Car detection/recognition • Action/gesture recognition • Image/video classification • Often the building blocks for a high level task are low level tasks • Commercial successes • Face detection • Kinect • More to arrive… An example: Large lump detection using multiple kernel learning

  5. Why graph algorithms? • They are the youngest in the family! That’s why more attention to them! • Actually, they offer excellent scalability, user interaction and performance. • Images are defined on grids, those are themselves graphs, so it is natural to consider graph algorithms. • From an ideological perspective, graph algorithms offer globally optimal solutions. • However, note that not all the tasks (low or high level) are reducible/convertible to graph algorithms!

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