[email protected]
, {takigu, ariki}@kobe-u.ac.jp
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(1/4)
HDD
*wallcomputerbookdeskchairhuman
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CRF: Conditional Random Field (2/4)*
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(3/4)
*
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(4/4)
5finecoarse
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(1/2)SegmentationbyWeighted AggregationSWAGentle Adaboost6
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(2/2)TCRF: Tree Conditional Random Field7: : : :
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(2/2)TCRF: Tree Conditional Random FieldBP: Belief
Propagation7:
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Segmentation by Weighted Aggregation SWA [Sharon, 2000]
8[Sharon, 2000] Eitan Sharon, Achi Brandt, and Ronen Basri. Fast
multiscale image segmentation. In CVPR, pp. 70-77, 2000
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9: :
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9Csnowrhinocatwatersky
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9rhinocatwaterrhinocatwater
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Corel dataset 7100: 180120
CV
(1/3)88.0%93.6%: rhino/hippo: polar bear: water: snow:
vegetation: ground: sky10
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(2/3)
Logistic Regression (LR) : Conditional Random Field (CRF) :
CRF
2.2%11
rhinobearwatersnowvegetationgroundskyAverageLR73.5%65.1%70.3%68.2%75.3%71.0%56.6%68.6%CRF71.8%71.0%82.6%70.6%78.9%74.7%41.7%70.2%TCRF75.7%72.7%78.9%73.8%79.4%76.5%49.6%72.4%
BoF6150500
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(3/3)LRCRFTCRF: sky12
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2.2%
sky water
23
: etc.
3
13
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33structure form motion3 13Automatic Photo Popup3
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3
HOGSVM
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31
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[He, 2004] Xuming He, Richard S. Zemel, and Miguel A.
Carreira-Perpinan. Multiscale conditional random fields for image
labeling. In CVPR, pp. 695-702, 2004[Kumar, 2005] Sanjiv Kumar and
Martial Hebert. A hierarchical field framework for unified
context-based calassification. In ICCV, pp. 1284-1291,
2005[Awasthi, 2007] Pranjal Awasthi, Aakanksha Gagrani, and
Balaraman Ravindran. Image modeling using tree structured
conditional random fields. In IJCAI, pp. 2060-2065, 2007
[He, 2004]31[Kumar, 2005]21[Awasthi, 2007]1(
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Segmentation by Weighted Aggregation SWA [Sharon, 2000]
Recursive Coarsening
Weighted Aggregation[Sharon, 2000] Eitan Sharon, Achi Brandt,
and Ronen Basri. Fast multiscale image segmentation. In CVPR, pp.
70-77, 2000aggregate kaggregate l
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RGB, HSV, YCrCb, Lab
Gabor Filter, LoG Filter
Bag of Features [Csurka, 2004]Gentle Ababoost
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P y*
Belief Propagation
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P
TODO
Segmentation by Weighted Aggregation20
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u
Segmentation by Weighted Aggregation21
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Bag of Features: SIFT(128)k-means(W)WVisual
Word()Codebook(Visual Word)22128SIFTBag of FeaturesVisual Word
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MAP: Maximum a Posteriori
L-BFGS
23
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BP: Belief Propagation
TODO
24
*CRFCRF*super-pixelsuper-pixle.************W.**
