Lecture Notes | Pattern Recognition for Machine Vision | Brain and Cognitive Sciences | MIT OpenCourseWare

Course Info

Instructors

Departments

Brain and Cognitive Sciences

As Taught In

Fall 2004

Level

Graduate

Topics

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Simulation Videos

Lecture Notes

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Lecture Notes

Class I - Overview

Class IV Part I – Bayesian Decision Theory

Class VI – Density Estimation

Class VII, Part I – Techniques for Clustering

Class XIII, Motion and Gesture

Classification

Object Detection using a Cascade of Classifiers

Principal Component Analysis & Independent Component Analysis

Quick Matlab Tutorial

Tracking Basics

Vision - Feature Extraction I

Vision: Feature Extraction

Class 8-2 – An Application of Clustering

Class 9 – Object Detection and Recognition

Course Info

Instructors

Departments

Brain and Cognitive Sciences

As Taught In

Fall 2004

Level

Graduate

Topics

Learning Resource Types

Simulation Videos

Lecture Notes

Presentation Assignments

Activity Assignments

Download Course

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