'Hsv color' presentation slideshows

Xiaopeng Zhang, Terence Sim , Xiaoping Miao School of Computing National University of Singapore

Enhancing Photographs with Near Infrared Images. Xiaopeng Zhang, Terence Sim , Xiaoping Miao School of Computing National University of Singapore. CVPR 2008 Speaker ? PoHan Lee. Introduction NIR images Approach Experiments Conclusions. Outline. Introduction. Dual-camera system

536 views • 32 slides

Vision-Based Multiple Vehicle Detection and Tracking for Driver Assistant System

Vision-Based Multiple Vehicle Detection and Tracking for Driver Assistant System. Qing Ming qing@islab.ulsan.ac.kr May. 11. 2012. Vision Based Driver Assistant System. Problem setting. Main Goal : Multiple vehicle detection and tracking . Challenge work:.

533 views • 32 slides

Designing for the Color Blind Audience

RHET 5307 Dr. Kuralt. Designing for the Color Blind Audience . Priscilla Rodriguez. Color blindness is a visual defect that results in the inability to differentiate between colors . It affects: 8% of Males 0.5% of Females. Understanding Color Blindness. Understanding

409 views • 21 slides

Face tracking

Face tracking. EE 7700 Name: Jing Chen Shaoming Chen. Outline. Introduction Viola-Jones face detection Face tracking based on Camshift Conclusion & Discussion Result demonstration. introduction. Face tracking Face detection object tracking Our method Viola-Jones Camshift.

503 views • 16 slides

Color Visualization in Matlab

254 views • 14 slides

Face Detection in Color Images

Face Detection in Color Images. Method Used . Face detection using skin color based segmentation. Data Set . A Data set of more than 100 singular face images with faces directly facing the camera to get a better skin color estimation. Source :- Google and AltaVista search engines.

274 views • 11 slides

Abstract

Using Context to Improve Robot Vision Catie Meador, Swarthmore College Faculty Advisor: Dr. Mohan Sridharan Texas Tech University 2012 NSF Research Experiences for Undergraduates Site Project. Conclusion Results : Hypothesized that context information would help recognize objects correctly.

103 views • 1 slides