CMP 719 - Computer Vision (Fall 2016)

Lectures: Tuesdays 9:30-12:15

Instructor: Pinar Duygulu Sahin

pinar-at-cs-hacettepe.edu.tr

Course Description

This course provides a thorough understanding of the fundamental concepts in computer vision (CV) for graduate students. The main objective is to provide an insight to the general understanding of what does it mean to see, and how this can help us to come up with machine vision systems. In this context, the course provides an introduction to a number of fundamental topics in CV, and make the students gain a sense of the accomplishments in the area.

Prerequisites

Basic probability, linear algebra and statistics knowledge. Good programming skills. !!! Image Processing background !!!

Announcements

Please note that this course is not an Image Processing course and requires a background knowledge.
Your first quiz will be on October 11 to test your prior knowledge on filters, edges, etc. In the class we will go through these topics only shortly.

Schedule (Tentative)

Oct 4 Introduction [slides]
Readings:
Oct 11 Filters [slides]
Quiz 1 on filters 		Readings:
Oct 18 Edge and Texture [slides]
Features [slides] 		Readings:
Oct 25 Local Features [slides]
Bag of words Representation[slides] 		Readings:
Nov 1 Fitting[slides]
Grouping and Segmentation[slides] 		Readings:
Nov 8 Motion[slides]
Quiz 2 on features, grouping and motion 		Readings:
Nov 22 Project presentations (Proposal)
Nov 29 Introduction to Object Recognition[slides]
Classifier based methods [slides] 		Readings:
Dec 6 Window- and part-based representations [slides]
Context [slides]
Selective search [slides by Schuyler Smith] 		Readings:
Dec 13 Scene Classification[slides]
Action Recognition [slides] 		Readings:
Dec 20 Language and Vision [slides]
Visual attributes [slides] 		Readings:
Dec 27 Project Presentations (Progress)
Jan 3 Deep learning and video analysis
Jan 10 Project presentations (Final)

Grading

Programming Assignments

There will be 4 assignments related to the topics covered in the class. Each assignment will involve implementing an algorithm, carrying out a set of experiments to evaluate it, and writing up a report on the experimental results. All assignments have to be done individually, unless stated otherwise.

Project

The students will be required to do a project in computer vision which should be done in groups of two. In preparing your progress and final project reports, you should use the provided template and submit them electronically in PDF format.

Reference Books

Resources

Communication:

The course webpage will be updated regularly throughout the semester with lecture notes, programming and reading assignments and important deadlines. All other course related communications will be carried out through Piazza. Please enroll it by following the link https://piazza.com/hacettepe.edu.tr/fall2016/cmp719

Policies:

All work on assignments must be done individually unless stated otherwise. You are encouraged to discuss with your classmates about the given assignments, but these discussions should be carried out in an abstract way. That is, discussions related to a particular solution to a specific problem (either in actual code or in the pseudocode) will not be tolerated.

In short, turning in someone else's work, in whole or in part, as your own will be considered as a violation of academic integrity. Please note that the former condition also holds for the material found on the web as everything on the web has been written by someone else.

© 2016 Hacettepe University