ECE 661 Assignments

Fall 2012

For the latest syllabus for the course, click here.

Submission

Turn-in your homework through the balckboard.

If you are not able to work from the above link, you can go the blackboard by myPurdue website.

Your report should be the typed version, not handwritten version.

When you turn-in your homework, use the filename with hw#_yourname.pdf. (e.g.) hw9_Dave Kim.pdf

Homework 1

Due: 08/28/12 (Tuesday) 12:00 pm

Sample Solution

Homework 2 : Elimination of projective distortion

Due: 09/6/12 (Thursday) before the class (1:30 pm)

Test Images (.zip file)

The Information of distances between points

Sample Solution using C++ (Courtesy of Yandong Guo)

Sample Solution using Python (Courtesy of Sriram Kathik Badam)

Homework 3 : Image rectification

Due: 09/18/12 (Tuesday) before the class (1:30 pm)

Sample Solution using C++ (Courtesy of Albert Parra Pozo)

Sample Solution using Python (Courtesy of Sriram Kathik Badam)

Homework 4 : Feature extraction and matching

Due: 10/2/12 (Tuesday) before the class (1:30 pm)

Test Images (.zip file)

Sample Solution using C++ (Courtesy of Bharath kumar Comandur J R )

Sample Solution using Python (Courtesy of Sriram Kathik Badam)

Homework 5 : Image mosaicking

Due: 10/18/12 (Thursday) before the class (1:30 pm)

The handout for the Levenberg-Marquardt (Courtesy of Pradit Mittrapiyanruk)

Tutorial: Implementing the Levenberg-Marquardt Algorithm without the Analytical Jacobian (Courtesy of Bharath Kumar Comandur)

The Levenberg-Marquardt algorithm in C/C++

Link 1

Link 2

Sample Solution using Matlab (Courtesy of Minwoong Kim )

Sample Solution using C++ (Courtesy of Albert Parra Pozo )

Sample Solution using Python (Courtesy of Sriram Kathik Badam)

Homework 6 : Image segmentation (Otsu's A/L)

Due: 10/30/12 (Tuesday) before the class (1:30 pm)

Test Images (.zip file)

Sample Solution using C++ (Courtesy of Lu Wang )

Sample Solution using Python (Courtesy of Sriram Kathik Badam)

Homework 7 : Camera calibration

Due: 11/20/12 (Tuesday) before the class (1:30 pm) - Extended

Zhang's technical report (.pdf file)

Calibration pattern (.pdf file)

Sample images for the test (.zip file)

Sample Solution using Matlab (Courtesy of Minwoong Kim )

Sample Solution using Python (Courtesy of Tommy Y. Chang)

Homework 8 : Projective reconstruction

Due: 11/29/12 (Thursday) before the class (1:30 pm)

Sample Solution using C++ (Courtesy of Yandong Guo )

Sample Solution using Python (Courtesy of Sriram Kathik Badam)

Homework 9 : Face recognition and object detection at low false-positive rates

Due: 12/16/12 before midnight

Dataset for face recognition (NO LONGER AVAILABLE)

Paper of Viola and Jones (.pdf file)

Sample Solution using Matlab (Courtesy of Sirui Hu )

Sample Solution using Python (Courtesy of Tommy Y. Chang)