Assignment #1

Due Thursday, Sept. 19 by midnight

Implement the DLT homography estimation discussed in class on Sept. 10

(and detailed in the handout) in Matlab.

Rectify these three images based on the correspondences between the

corners of a square under perspective in each image and a hypothetical,

frontally-viewed square. 

Experiment with using more than four correspondences, differently-sized squares

in the image, differently-sized target squares, and rectangular image regions

(mapped to rectangular targets, of course).  How do the rectified images vary

for each scene?

Turn in three rectified images (your best representative of each sample, with

data on correspondence points used for each and the dimensions of the target

square/rectangle), all Matlab code, and a short description of your observations,

including how you handled the target image size and unmapped areas in it.

Notes

Use ginput for mouse clicks in Matlab to record correspondences.

Here's a stub of code for reading in an image, displaying it, and picking

points: pick_points.m