'Color spaces' diaporamas de présentation

Image and Video Processing

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Color

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CMRoboBits: Creating an Intelligent AIBO Robot

CMRoboBits: Creating an Intelligent AIBO Robot. Instructors: Prof. Manuela Veloso & Dr. Paul E. Rybski TAs: Sonia Chernova & Nidhi Kalra 15-491, Fall 2004 http://www.andrew.cmu.edu/course/15-491 Computer Science Department Carnegie Mellon. AIBO Vision. Goals of this lecture

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PDF in Smalltalk

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Estimation of Skin Color Range Using Achromatic Features

Wen-Hung Liao Department of Computer Science National Chengchi University November 27, 2008. Estimation of Skin Color Range Using Achromatic Features. Outline. Motivation and Related Work Color Spaces Fixed vs. Dynamic Range Approach Experimental Results Skin color segmentation

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Last Time

Last Time. Color and Color Spaces Recall RGB and XYZ Programming assignment 2. Today. More color spaces Image file formats GIF JPEG Intro to color quantization. The RGB Color Matching Functions. Computing the Matching.

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CS 4731: Computer Graphics Lecture 24: Color Science

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Vision/Color II, Virtual Trackball Week 5, Wed Feb 7

http://www.ugrad.cs.ubc.ca/~cs314/Vjan2007. Vision/Color II, Virtual Trackball Week 5, Wed Feb 7. Reading for Last Time & Today. RB Chap Color FCG Sections 3.2-3.3 FCG Chap 20 Color FCG Sections 21.2.2, 21.2.4. Reading for Next Time. FCG Chap 3 Raster Algorithms (except 3.2-3.4, 3.8)

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Human Perception

Human Perception. What you may or may not already know, want to know or even care about how you see. Goals. Decent understanding of human visual response Discuss intelligently about the flaws of current popular color systems Understand a few existing alternatives

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Human Perception

Human Perception. What you may or may not already know, want to know or even care about how you see. Goals. Decent understanding of human visual response Discuss intelligently about the flaws of current popular color systems Understand a few existing alternatives

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Color

Color. CS 445/645 Introduction to Computer Graphics David Luebke, Spring 2003. Color. Next topic: Color

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Color Image Processing

Color Image Processing. Longin Jan Latecki CIS Dept. Temple Univ., Philadelphia latecki@temple.edu. Light Light is fundamental for color vision Unless there is a source of light, there is nothing to see! What do we see? We do not see objects , but the light that has been

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About These Slides

These slides were assembled for the Seventh Annual Student Research Symposium in Cumnock Hall on April 25,2006. This is the second iteration of the SRS slides with updates since the previous 2004 SRS.The details contained within these slides were meant to fit on a three-fold posterboard.

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Color and Color Perception

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CSSE463: Image Recognition Day 2

CSSE463: Image Recognition Day 2. Roll call Announcements : Moodle has drop box for Lab 1 Next class: lots more Matlab how-to (bring your laptop) Last class we discussed: Today : Color and color features Do questions 1-2 about ICME sunset paper now Questions?. Q1-2.

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CSSE463: Image Recognition Day 2

CSSE463: Image Recognition Day 2. Roll call Announcements : Reinstall Matlab if you are having problems: Lab 1 has directions . Angel has drop box for Lab 1 Bonus points to first person to find errors in course materials ! Next class: more Matlab how-to (bring laptop)

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CSSE463: Image Recognition Day 2

CSSE463: Image Recognition Day 2. Roll call Announcements : Reinstall Matlab if you are having problems: Lab 1 has directions . Angel has drop box for Lab 1 Bonus points to first person to find errors in course materials ! Next class: more Matlab how-to (bring laptop)

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CSSE463: Image Recognition Day 2

CSSE463: Image Recognition Day 2. Roll call Announcements : Reinstall Matlab if you are having problems: Lab 1 has directions . Angel has drop box for Lab 1 Bonus points to first person to find errors in course materials ! Next class: lots more Matlab how-to (bring laptop)

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Analysis and Comparison of Quality Metrics with Reference Based on Uniform Color Spaces

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PROJECT #1: Color Spaces

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