Computer Vision: Image mosiacs project

02a507e3f7f2b7a00c9be6bd1f902dd1?s=47 Jamie Ly
December 05, 2010

Computer Vision: Image mosiacs project

A presentation on the results of a image mosiac project from Computer Vision class.

02a507e3f7f2b7a00c9be6bd1f902dd1?s=128

Jamie Ly

December 05, 2010
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Transcript

  1. Computer Vision Project 3 Image mosaics Ly, Pant

  2. Decisions • ANMS ◦ Not really working until we used

    imregionalmax. • Descriptors ◦ Rotations using atan Iy./Ix • Ransac ◦ 50 random pulls of 4 points • Mosaic merging ◦ Homography applied to all pixels of source image ◦ Results in holes in destination
  3. ANMS - 50

  4. ANMS - 200

  5. Test Mosaic

  6. Bridge Mosaic (Ransac poor)

  7. Bridge Mosaic (Better--luck?)

  8. Chicago Mosaic (3-images)

  9. Quad Mosaic

  10. Quad Mosaic (Fixed later)

  11. Tips • Skipped ANMS by using other code for non-maximal

    suppression in order to work on other tasks • Did not implement inverse homography to copy pixels ◦ Results in holes in image, especially when there are perspective transformations (Quad Mosaic) ◦ (Later implemented.) • Perseverance!
  12. Problems • ANMS slow. • Crashed matlab by not setting

    bounds on images ◦ Too much memory consumed • Did not implement inverse homography to copy pixels ◦ Results in holes in image, especially when there are perspective transformations (Quad Mosaic) ◦ (Implemented later using inpolygon) • Ran out of time!