ch01a - CSCE 5013 Computer Vision Fall 2011 Prof. John...

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CSCE 5013 Computer Vision Fall 2011 Prof. John Gauch [email protected]
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Ch1 - Introduction • Overview • Application Areas • History • Course Objectives
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Overview Computer vision is the process of extracting useful information from digital images – Finding objects of interest in images – Properties of objects (size, shape, color) – Recognition of objects • Computer vision is also known as machine vision, robot vision, computational vision, or image understanding
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Overview • The fundamental problem of computer vision is that multiple models could fit the image data – Fitting a line equation to set of 2D points – Calculating 3D coordinates from 2D images • Hence we must select the best model that fits the data given the time/space constraints of the application
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• Computer vision is closely related to three other research areas: – Image processing (image => image) – Computer vision (image => model) – Computer graphics (model => image) – Computational geometry (model => model)
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This note was uploaded on 12/01/2011 for the course CSCE 5013 taught by Professor Staff during the Fall '08 term at Arkansas.

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ch01a - CSCE 5013 Computer Vision Fall 2011 Prof. John...

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