Georgia Institute of Technology - Introduction to Computer Vision

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Introduction to Computer Vision
at
UDACITY
Overview

Skills you will learn

More about this course

Data structures: You'll be writing code that builds representations of images, features, and geometric constructions. A good working knowledge of Matlab and/or Python with NumPy. The lecture videos use Matlab for occasional demonstration because the instructor is too old to change. Problem sets will be done in Matlab or Python. As mentioned in the resources note below, you can use either Matlab or the open source version Octave. This course has more math than many CS courses: Linear algebra, vector calculus, and linear algebra (that is not a typo). No prior knowledge of vision is assumed though any experience with Signal Processing is helpful.

Introduction

Image Processing for Computer Vision

Camera Models and Views

Image Features

Lighting

Image Motion

Tracking

Classification and Recognition

Useful Methods

Human Visual System

Aaron Bobick

Designation : Instructor

Irfan Essa

Designation : Instructor

Arpan Chakraborty

Designation : Instructor

Eligibility criteria Up Arrow Icon

Data structures: You'll be writing code that builds representations of images, features, and geometric constructions. A good working knowledge of Matlab and/or Python with NumPy. The lecture videos use Matlab for occasional demonstration because the instructor is too old to change. Problem sets will be done in Matlab or Python. As mentioned in the resources note below, you can use either Matlab or the open source version Octave. This course has more math than many CS courses: Linear algebra, vector calculus, and linear algebra (that is not a typo). No prior knowledge of vision is assumed though any experience with Signal Processing is helpful.

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