lec17

lec17 - Lecture 17: October 20, 10 Exam 1: to be graded and...

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USC CS574: Computer Vision, Fall 2010 Copyright 2010, by R. Nevatia 1 Lecture 17: October 20, 10 • Exam 1: to be graded and returned by Monday, Oct 25 – Grades were posted on-line unintentionally for a while; these were not finalized and have been removed. • HW4 to be posted by Thursday, due Monday, Nov 1 • Schedule: – No class on Wednesday, Oct 27; make up on Friday Oct 29, 10:30 to 11:50, Studio D • Last Class – Range data, acquisition and processing • Today’s objective – Object Recognition
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USC CS574: Computer Vision, Fall 2010 Copyright 2010, by R. Nevatia 2 Object Recognition Objectives • Finding and recognizing objects is a key goal of vision • What does it mean to recognize an object? Identification : Recognition of a specific object • e.g. a specific person or your car Categorization : Recognition of an object as being member of a certain class e.g. a human or a car or a specific model of car Detection • Often used synonymously with identification or categorization: e.g. detect your car in the scene • Sometimes used to indicate segmentation (e.g. a moving blob which may be a car or a person or another mobile object) without knowing its identity or specific category.
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USC CS574: Computer Vision, Fall 2010 Copyright 2010, by R. Nevatia 3 Object Recognition Issues • Size of database – Humans recognize > 20,000 named categories • Nature of input data – Single image (color/monochromatic), – Multiple images (video in general)
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This note was uploaded on 11/23/2010 for the course CS 574 taught by Professor Ramnevatia during the Fall '10 term at USC.

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lec17 - Lecture 17: October 20, 10 Exam 1: to be graded and...

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