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From Edges to Objects

From Edges to Objects. Piotr Dollár and Larry Zitnick. outline. structured edge prediction [Dollár & Zitnick, ICCV13, arXiv14]. from edges to objects [ Zitnick & Dollár, ECCV14 ]. what defines an edge?. Brightness Color Texture Parallelism Continuity Symmetry ….

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From Edges to Objects

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  1. From Edges to Objects Piotr Dollár and Larry Zitnick

  2. outline structured edge prediction [Dollár & Zitnick, ICCV13, arXiv14] from edges to objects[Zitnick & Dollár, ECCV14]

  3. what defines an edge? Brightness Color Texture Parallelism Continuity Symmetry … Let the data speak.

  4. upgrading the output space year bits { 0, 1 } 1 CVPR06 { … } 8 CVPR13 256 ICCV13

  5. random forests

  6. structured forests

  7. structured prediction

  8. pixel prediction

  9. sharpening

  10. sharpened prediction

  11. original image pixel  structured  sharpened 

  12. 30Hz ODS = 0.73 12.5Hz 2.5Hz ODS = 0.75 ODS = 0.74 SH SH+MS gPb ODS=.73 FPS ≈ 1/240 Hz gPb ODS=.73 SH = sharpen MS = multiscale

  13. outline structured edge prediction [Dollár & Zitnick, ICCV13, arXiv14] from edges to objects[Zitnick & Dollár, ECCV14]

  14. sliding window detection restrictive!

  15. segmentation for detection hard!

  16. object proposals Selective Search - 2011 Ojectness - 2010 CPMC - 2010 Random. Prim’s - 2013

  17. object proposals from ? sliding windows? segments? superpixels? SLIC - 2012 SEEDS - 2012

  18. from edges to objects

  19. fast 

  20. thanks! source code available online

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