Fei-Fei Li Lecture 12 - 3-Nov-2016vision.stanford.edu/teaching/cs131_fall1617/lectures/... ·...
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Lecture 12 - 3-Nov-2016 Fei-Fei Li
Transcript of Fei-Fei Li Lecture 12 - 3-Nov-2016vision.stanford.edu/teaching/cs131_fall1617/lectures/... ·...
Lecture 12 - 3-Nov-2016Fei-Fei Li
Lecture 12 - 3-Nov-2016Fei-Fei Li
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Lecture 12 - 3-Nov-2016Fei-Fei Li
Salvador Dalí “Man/couple with sleeping dog" (1948)
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Slide credit: Steve Seitz, Kristen Grauman
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Slide credit: Svetlana Lazebnik
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Berkeley Segmentation Dataset [Martin et al., ICCV 2001]
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“superpixels”
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50x50 Patch50x50 Patch
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[Felzenszwalb and Huttenlocher 2004]
[Mori et al. 2005]
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“GrabCut” [Rother et al. 2004]
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Oversegmentation Undersegmentation
Multiple Segmentations
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Slide credit: Kristen Grauman
What things should be grouped?
What cues indicate groups?
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Slide credit: Kristen Grauman
Lecture 12 - 3-Nov-2016Fei-Fei Li
Slide credit: Kristen Grauman
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Lecture 12 - 3-Nov-2016Fei-Fei Li
Slide credit: Kristen Grauman
Lecture 12 - 3-Nov-2016Fei-Fei Li
Slide credit: Kristen Grauman
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[Gregory 1968]
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[Gregory 1968]
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Untersuchungen zur Lehre von der Gestalt,Psychologische Forschung, Vol. 4, pp. 301-350, 1923
“I stand at the window and see a house, trees, sky. Theoretically I might say there were 327 brightnesses and nuances of colour. Do I have "327"? No. I have sky, house, and trees.”
Max Wertheimer(1880-1943)
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https://en.wikipedia.org/wiki/Rubin_vase
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https://en.wikipedia.org/wiki/Rubin_vase
Multistability
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Man and crane, Mimbres culturepot, c. 1000 -1150 AD
second century B.C. Greek mosaic from the Acropolis
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(or bottom-up hierarchical clustering)
Simple algorithm
● Initialization: ○ Every point is its own cluster
● Repeat:○ Find “most similar” pair of clusters○ Merge into a parent cluster
● Until:○ The desired number of clusters has been reached○ There is only one cluster
Lecture 12 - 3-Nov-2016Fei-Fei Li
● Initialization: ○ Every point is its own cluster
Lecture 12 - 3-Nov-2016Fei-Fei Li
● Initialization: ○ Every point is its own cluster
● Repeat:○ Find “most similar” pair of
clusters
Lecture 12 - 3-Nov-2016Fei-Fei Li
● Initialization: ○ Every point is its own cluster
● Repeat:○ Find “most similar” pair of
clusters○ Merge into a parent cluster
Lecture 12 - 3-Nov-2016Fei-Fei Li
● Initialization: ○ Every point is its own cluster
● Repeat:○ Find “most similar” pair of
clusters○ Merge into a parent cluster
Lecture 12 - 3-Nov-2016Fei-Fei Li
● Initialization: ○ Every point is its own cluster
● Repeat:○ Find “most similar” pair of
clusters○ Merge into a parent cluster
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dist
ance
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http://scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html
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