Applications Discussion

Slides:



Advertisements
Similar presentations
The Important Thing About By. The Important Thing About ******** The important thing about ***** is *****. It is true s/he can *****, *****, and *****.
Advertisements

Matthias Wimmer, Bernd Radig, Michael Beetz Chair for Image Understanding Computer Science TU München, Germany A Person and Context.
1/03/09 De 89 à 98. 1/03/09 De 89 à 98 1/03/09 De 89 à 98.
Computer Vision REU Week 2 Adam Kavanaugh. Video Canny Put canny into a loop in order to process multiple frames of a video sequence Put canny into a.
Supporting Collaboration: Digital Desktops to Intelligent Rooms Mary Lou Maher Design Computing and Cognition Group Faculty of Architecture University.
Overview of Computer Vision CS491E/791E. What is Computer Vision? Deals with the development of the theoretical and algorithmic basis by which useful.
OpenCV Stacy O’Malley CS-590 Summer, What is OpenCV? Open source library of functions relating to computer vision. Cross-platform (Linux, OS X,
Invited Talk Telepresence in the Real World Presented by: Weihong Li --- ACM Multimedia 2004 Conference Workshop on Effective Telepresence (ETP’04) Duffie.
Interactive Systems Technical Design
CS335 Principles of Multimedia Systems Multimedia and Human Computer Interfaces Hao Jiang Computer Science Department Boston College Nov. 20, 2007.
Gyration GyroMouse. Digitizers 3D Digitization Data Gloves (Haptic Devices)
1 Introduction What IS computer vision? Where do images come from? the analysis of digital images by a computer.
Support for Palm Pilot Collaboration Including Handwriting Recognition.
Computer Vision UNR Dr. George Bebis
Matthias Wimmer, Bernd Radig, Michael Beetz Chair for Image Understanding Computer Science Technische Universität München Adaptive.
Goals of Computer Vision To make useful decisions based on sensed images To construct 3D structure from 2D images.
WhyHowWhat. Rimsha AslamGishkori Muhammad Ali Shahzad.
GIP: Computer Graphics & Image Processing 1 1 Medical Image Processing & 3D Modeling.
Multimedia Specification Design and Production 2013 / Semester 2 / week 8 Lecturer: Dr. Nikos Gazepidis
Zhengyou Zhang Microsoft Research Digital Object Identifier: /MMUL Publication Year: 2012, Page(s): Professor: Yih-Ran Sheu Student.
VISUAL MONITORING OF RAILROAD GRADE CROSSING AND RAILROAD TRACKS University of Central Florida.
 Face Detection Face Detection  Eye Detection Eye Detection  Lip-reading Lip-reading  Facial Feature Detection Facial Feature Detection  Gaze Tracking.
Active Pursuit Tracking in a Projector-Camera System with Application to Augmented Reality Shilpi Gupta and Christopher Jaynes University of Kentucky.
CSCE 5013 Computer Vision Fall 2011 Prof. John Gauch
The Eos-Explorer CHENRAN YE IMDE ECE 4665/5666 Fall 2011.
Computer Science Department Pacific University Artificial Intelligence -- Computer Vision.
Augmented Reality and 3D modelling By Stafford Joemat Supervised by Mr James Connan.
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier Many slides adapt from Steve Gu.
CS332 Visual Processing Department of Computer Science Wellesley College CS 332 Visual Processing in Computer and Biological Vision Systems Overview of.
SciFest Overview Neil Gannon. Outline Demonstrations using a Microsoft Kinect sensor – Image Manipulation Real-time Invisibility Background removal (green.
CAMEO: Face Recognition Year 1 Progress and Year 2 Goals Fernando de la Torre, Carlos Vallespi, Takeo Kanade.
GENDER AND AGE RECOGNITION FOR VIDEO ANALYTICS SOLUTION PRESENTED BY: SUBHASH REDDY JOLAPURAM.
WELCOME TO ALL. DIGITAL IMAGE PROCESSING Processing of images which are Digital in nature by a Digital Computer.
Spring 2007 COMP TUI 1 Computer Vision for Tangible User Interfaces.
Computer Vision UNR George Bebis Computer Vision Laboratory (CVL) Department of Computer Science and Engineering University of Nevada, Reno,
Detecting Eye Contact Using Wearable Eye-Tracking Glasses.
BACKGROUND MODEL CONSTRUCTION AND MAINTENANCE IN A VIDEO SURVEILLANCE SYSTEM Computer Vision Laboratory 指導教授:張元翔 老師 研究生:許木坪.
  Computer vision is a field that includes methods for acquiring,prcessing, analyzing, and understanding images and, in general, high-dimensional data.
Copyright 2007 by Rombix. R CyClops is a computer vision solution which could integrate most of the Real World Computer Vision Application. Available.
What is Multimedia Anyway? David Millard and Paul Lewis.
Computer Vision: 3D Shape Reconstruction Use images to build 3D model of object or site 3D site model built from laser range scans collected by CMU autonomous.
。 33 投资环境 3 开阔视野 提升竞争力 。 3 嘉峪关市概况 。 3 。 3 嘉峪关是一座新兴的工业旅游城市,因关得名,因企设市,是长城文化与丝路文化交 汇点,是全国唯一一座以长城关隘命名的城市。嘉峪关关城位于祁连山、黑山之间。 1965 年建市,下辖雄关区、镜铁区、长城区, 全市总面积 2935.
Basically, as far as the Topics in Artificial Intelligence are Concerned: Computer Vision.
CIRP Annals - Manufacturing Technology 60 (2011) 1–4 Augmented assembly technologies based on 3D bare-hand interaction S.K. Ong (2)*, Z.B. Wang Mechanical.
CS262: Computer Vision (and Human-Computer Interaction)
Day 3: computer vision.
Nicole looks at faces Development of a visual robot interface to interpret facial expressions NICOLE: Future robots will share their environment with humans.
Data Analysis and Machine Learning: From Clicks, Gaze, Face to Evaluation of User eXperience Mária Bieliková.
Journal of Vision. 2011;11(13):27. doi: / Figure Legend:
CS201 Lecture 02 Computer Vision: Image Formation and Basic Techniques
Non-invasive Techniques for Driver Fatigue Monitoring
Augmented Reality SDK Introduction
Words formed from the Root videre
Jia-Bin Huang Virginia Tech ECE 6554 Advanced Computer Vision
Physics-based simulation for visual computing applications
Institute of Neural Information Processing (Prof. Heiko Neumann •
An Introduction of Marker and Markerless In AR
Plankton Classification VIDI: Sign Recognition HANDWRITING RECOGNITION
Sensor Fusion Localization and Navigation for Visually Impaired People
Natural User Interaction with Perceptual Computing
AHED Automatic Human Emotion Detection
Face Detection Gender Recognition 1 1 (19) 1 (1)
Image Recognition has a wide variety of cool apps
CS 332 Visual Processing in Computer and Biological Vision Systems
– Graphics and Visualization
Image Recognition has a wide variety of cool apps
Computer Vision Readings
Report 2 Brandon Silva.
Automated traffic congestion estimation via public video feeds
Complete Vehicle Systems.
Presentation transcript:

Applications Discussion What are the applications of computer vision? Old tried-and-true applications Brand new applications Applications you have heard of Applications you have worked on

Some Applications from WACV2002 Face Detection / Skin Detection Face Recognition Gesture Recognition Eye Gaze Estimation Gender Classification People Tracking Group Behavior Recognition Visual Navigation Real-Time Precrash Vehicle Detection Augmented Reality Vehicle Inspection Video de-Abstraction (How to save money on your wedding video) Analysis of auroral appearance over Canada Video Endoscopy