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Geometric Blur Descriptors for Point Correspondence

Geometric Blur Descriptors for Point Correspondence. Nisarg Vyas Computational Photography (15862) Final Project, Carnegie Mellon University. Motivation. Point Correspondences are used in many vision applications Image Alignment

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Geometric Blur Descriptors for Point Correspondence

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  1. Geometric Blur Descriptors for Point Correspondence Nisarg Vyas Computational Photography (15862) Final Project, Carnegie Mellon University

  2. Motivation • Point Correspondences are used in many vision applications • Image Alignment • 3D reconstruction of scene from multiple views • Object Recognition • Vehicle path Navigation • Structure from Motion

  3. Point Correspondence Basic Approaches: SSD, NCC •  ,Do not work well under affine transfoms

  4. Blurred Descriptors • MOPS • Geometric Blur

  5. Geometric Blur: Introduction • A “Spatially varying” Kernel which smoothes Instead of Kx(y) = Gσ(y), Kx(y) = Gα|x|(y)

  6. Comparison: Geometric Blur & Gaussian Blur

  7. Geometric Blur “Descriptor” • Take signed Gradient of input image in both directions, we will now be with 4 channels

  8. Geometric Blur “Descriptor” Take a feature point, calculate Blur Descriptor for all 4 gradient channels, Subsampled in concentric circles

  9. Results

  10. Results

  11. Results

  12. Status so far & Plans for final submission • Done implementing Geometric Blur Descriptor • Results are not as good as expected, sometimes simple SSD does even better !! • Have to try changing the thresholds which varies the sigma • Trying Other interesting descriptors (SIFT,C1), If time permits

  13. References [1] Geometric Blur for Template Matching A.C. Berg and J. Malik, CVPR, 2001 [2] Shape Matching and Object Recognition using Low-distortion Correspondences, A.C. Berg, T.L. Berg and J. Malik, CVPR, 2005 [3] Comparing Visual Features for Morphing Based Recognition, J.J. Wu, MIT CSAIL Technical report, 2005 (TR-2005-035)

  14. Questions and Suggestions?

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