Cornell Box	Cornell Box's Hough Transform

Figure 3: Hough Transform applied to the Cornell Box. Note that the accumulator space is parameterized by distance and angle (from the upper left corner of the image), with angle along the x axis, running from -PI to +PI, and the distance along the y axis running from 0 at the top to a computed maximum for a given image size at the bottom.

Me	My Hough Transform

Figure 4: Hough Transform applied to a photo of me. Note that the accumulator is parameterized the same as in Figure 3.




NOTE: More examples of my Hough Transform implementation are available on my project web page at:
http://www.cs.utah.edu/~wyman/classes/imp/edge_detection/index.html