Project 1: Canny Edge Detection
Test Image Truth
Team 2 (Revised)
Team 4 (Revised)
Team 5 (Revised)
Team 10 (Revised)
Team 12 (Revised)
Team 14 (Revised)
- Project 2: due October 19
The goal of this evaluation is to choose the simplest possible image that will demonstrate whether the triangulation based morphing and thin plate spling morphing are operating correctly. Starting from the reference test image, team code is used to warp the image into four source images such that the center point is translated along four cardinal directions. Team code is then used to smoothly morph between these four keyframes, using only five control points: four in the image corners and one central control point at the intersection of four triangles. A matlab script is available to replicate this test.
Thin Plate Spline Evaluation
- Project 3: due November 16
- Shape Matching and Object Recognition Using Shape Contexts, S. Belongie, J. Malik, and J. Puzicha. PAMI 2002
- Multi-image Matching using Multi-scale Oriented Patches, M. Brown, R. Szeliski, S. Winder, CVPR 2005
The two test images contain 9 unique fiducial markers, which are on a plane parallel to the first image. These fiducials are visible in both images, however the second image undergoes a translation and a small rotation. The fiducials are planar, so the transformation between fiducials is expressible as a homography. A correct mosaic will align the fiducials. These test images were chosen to stress the adaptive non-maxima suppression for the Harris corner detection (e.g. multiple corners per fiducial), the blurred feature descriptor (rotated image), RANSAC (multiple possible correspondences based on which fiducial corner is chosen) and the blending (red vs. blue).
Also shown are the mosaic results generated by the team to best showcase their approach.
- Project 4: due December 15
- Milestone, November 30
- Project presentations, Tuesday December 15, 12-3pm in Towne 303