ai-prolog10

ai-prolog10 - Artificial Intelligence: Vision Stages of...

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1 Artificial Intelligence: Vision Stages of analysis Low level vision Surfaces and distance Object Matching
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2 Introduction Another “mundane” task involves being able to make sense of what we see. We can handle images of objects differing in: size orientation color lighting expression (for faces etc) obscured by other objects And recognize the objects in the scene, and what is happening in the scene.
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3 Vision task Ultimate task: from visual signal (digitized image) to representation of the scene adequate for carrying out actions on the objects on the scene. E.g., image of parts of device --> representation of location, orientation, shape, type etc of parts enabling robot to assemble device. More limited task: recognize objects (from limited set) - is it a widget, wodget or wadget?
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4 Stages of processing Like NLP, we are mapping from an unstructured raw signal to a structured meaningful representation. Like NLP we do it in stages: Digitization - raw data -> digitized image (e.g., 2d array of intensity/brightness) Low level processing - identify features like lines/edges from the raw image. Medium level - determine distances and orientation of surfaces. High level - Create useful high level representation (e.g., 3-d models, with objects and parts identified)
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Low level Processing Ignore digitization. First task then is to extract some primitive features from the image. We might have a 512x512 image, where each image point (pixel) has a certain image intensity or brightness, represented by a number 0-255. For color need three numbers per image point We start with a “grey-level” image. Image
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This note was uploaded on 01/20/2011 for the course CS 6810 taught by Professor Hecker during the Spring '10 term at CSU East Bay.

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ai-prolog10 - Artificial Intelligence: Vision Stages of...

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