'Color segmentation' diaporamas de présentation

Introduction to Computer Vision Lecture 10

Introduction to Computer Vision Lecture 10. Roger S. Gaborski. 1. RECALL: Euclidean distance. D ( z,m ) ? T is a solid sphere of radius T . Points within, or on the surface are defined as being part of the segmented region. Roger S. Gaborski. 2. Covariance.

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LYU0203 Smart Traveller with Visual Translator for OCR and Face Recognition

Department of Computer Science & Engineering The Chinese University of Hong Kong. LYU0203 Smart Traveller with Visual Translator for OCR and Face Recognition. Supervised by Prof. LYU, Rung Tsong Michael. Prepared by: Wong Chi Hang Tsang Siu Fung. Outline. Introduction Overall Design

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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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A Rapid S tereo M atching A lgorithm B ased on Disparity I nterpolation

A Rapid S tereo M atching A lgorithm B ased on Disparity I nterpolation. Gang Yao Yong Liu Bangjun Lei Dong Ren Institute of Intelligent Vision and Image Information China Three Gorges University. Outline. Introduction Method Disparity Interpolation Experiments Conclusion.

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Segment-based Stereo Matching Using Graph Cuts

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Introduction to Computer Vision Lecture 11

Introduction to Computer Vision Lecture 11. Roger S. Gaborski. 1. Models . Color space RGB 3 dimensional color space Specific color represented by R,G and B values Brightness is inherently represented by the R,G,B triplet . Red Patches. R1 R2

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Direct Methods for Aibo Localization

r 2 r 1 y x Direct Methods for Aibo Localization CSE398/498 04 March 05 Administration Plans for the remainder of the semester Localization Challenge Kicking Challenge Goalie Challenge Scrimmages Finish CMU Review Direct methods for robot localization

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EE368Group04 Face Detection by color segmentation and template matching

EE368Group04 Face Detection by color segmentation and template matching. Scott Tan Boonping Lau Chun Hui Weng. Definition of Problem. Multiple face detection in images With cluttered background, high degree of occlusion Limited scale and rotational invariance Constant lighting condition

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Chapter 6. Color & Shading

Chapter 6. Color & Shading. Perception of objects. Perception of objects. The spectrum (energy) of light source . The spectral reflectance of the object surface . The spectral sensitivity of the sensor. How do we see an object?. Light. Eyes. Object. Luminance ? Lightness

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Vehicle Detection in Aerial Surveillance Using Dynamic Bayesian Networks

Vehicle Detection in Aerial Surveillance Using Dynamic Bayesian Networks. Hsu-Yung Cheng , Member, IEEE , Chih -Chia Weng , and Yi-Ying Chen. Outline. Introduction Proposed vehicle detection framework Experimental Results Conclusion . Introduction.

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Color Segmentation & Introduction to Motion Planning

Color Segmentation & Introduction to Motion Planning. CSE350/450-011 11 Sep 03. Administration. Questions?. Class Objectives. Review how color is represented and can be segmented in a computer image Introduction to basic Motion Planning for a mobile robot. Supporting References.

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EE368 Face detection

EE368 Face detection. Joon Hyung Shim, Jinkyu Yang, and Inseong Kim. Introduction. Face detection : important part of face recognition Variations of image appearance pose (front, non-front) occlusion Image orientation illuminating condition facial expression. Methods

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EE368 Face detection

EE368 Face detection. Joon Hyung Shim, Jinkyu Yang, and Inseong Kim. Introduction. Face detection : important part of face recognition Variations of image appearance pose (front, non-front) occlusion Image orientation illuminating condition facial expression. Methods

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Roadway Sign Data Collection

Roadway Sign Data Collection. Image pattern recognition. Geometrical optics computation. Object Geo-referencing. Successive image superposition and validation. Video log image data collection. GeoTranSolution (GTS) Automatic sign recognition.

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