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Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo


Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence
Hamid R. Tizhoosh
Teaching
Computer Vision
Machine Intelligence
Data Structures
SD750 - OBL
Research
Pattern Recoginition
Computer Vision
Machine Intelligence
Terahertz Imaging
Health Engineering
Opposition-Based Learning
Students
Current Students
Former Students
Projects
LORNET
Prostate Cancer
Breast Cancer
Radiation Therapy
Other Projects
Publications
Books & Chapters
Journals
Conferences
Reports etc.
University of Waterloo :: Faculty of Engineering :: Systems Design

Teaching …
SD677 - Computer Vision Topics, Fall 2006

Date

Lecture

Week 1 (Sep 11)

Introduction

Week 2 (Sep 18)

Light, Sensation & Imaging

Week 3 (Sep 25)

Early Vision: Filtering, Enhancement & Restoration

Week 4 (Oct 2)

Early Vision: Edges, Textures, Multiple Views

Week 5 (Oct 9)

Thanksgiving

Week 6 (Oct 16)

Mid-Level Vision: Image Representation

Week 7 (Oct 23)

Mid-Level Vision: Segmentation

Week 8 (Oct 30)

Mid-Level Vision: Segmentation

Week 9 (Nov 6)

High-Level Vision: Overview

Week 10 (Nov 13)

High-Level Vision:Intelligent Techniques

Week 11 (Nov 20)

High-Level Vision:Intelligent Techniques

Week 12 (Nov 27)

High-Level Vision:Intelligent Techniques

Week 13 (Dec 4)

Emerging Imaging Technologies

 

 

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Goals


Typical goals of computer vision include:

- The detection, segmentation, location, and recognition of certain objects in images (e.g., human faces)
- Registration of different views of the same scene or object
- Tracking an object through an image sequence
- Mapping a scene to a three-dimensional model of the scene; such a model might be used by a robot to navigate the imaged scene
- Estimation of the three-dimensional poses of humans and their limbs

Source: WIKIPEDIA


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