Graph Based Image Segmentation Jianbo Shi University of - PowerPoint PPT Presentation

Sep 10, 2023 •17 likes •1.04k views

Graph Based Image Segmentation Jianbo Shi University of Pennsylvania A top-down process? Or a bottom up process? young woman, old woman Both segmentation and recognition are context sensitive: Need the whole to see its parts segmentation

Where is Waldo ? Edges cues ? Color cues ? Do you use Texture cues ? -That’s not enough, you need Shape cues High-level object priors 86
87
Con-current recognition-segmentation Appearance parts Part - Part grouping detection Parts-pixel consistency Filter-edge detection Pixel-pixel grouping [Yu, Shi, CVPR’03]
Con-current recognition-segmentation [Yu, Shi, CVPR’03]
A A’ This could be the back
B B’ A A’ A → B
Context enhances contour perception C C’ B B’ A A’ A → B → C
D C Nothing? D’ C’ C ’ B B’ A A’ Not good! A → B → C → D X
Accidental alignment happens. Context is very useful, but need to find the ‘Right’ context first.   x
[Srinivasan&Shi, 07]
[Toshev, Shi, Daniidis, 07]
Contour Packing for Object Recognition ? Jianbo Shi Joint work with Qihui Zhu, Praveen Srinivasan, Liming Wang, Yang Wu
Object Recognition via Region Packing
Results on ETHZ Used only one hand-drawn model per class false positives pruned by joint contour selection failure cases Detection results of our method. Model selection is shown on the top-left corner. Zhu & Shi, ECCV 08

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