clustering appearance and shape by jigsaw, and comparing it with epitome
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Clustering appearance and shape by Jigsaw, and comparing it with Epitome. Papers (1) Clustering appearance and shape by learning jigsaws (2006 NIPS) (2) Fast approximate energy minimization via graph cuts. (PAMI 2001) (3) Video epitomes. (CVPR 2005) - PowerPoint PPT PresentationTRANSCRIPT
Clustering appearance and shape by Clustering appearance and shape by Jigsaw, and comparing it with Epitome.Jigsaw, and comparing it with Epitome.
PapersPapers
(1) Clustering appearance and (1) Clustering appearance and shape by learning jigsaws (2006 shape by learning jigsaws (2006 NIPS)NIPS)
(2) (2) Fast approximate energy Fast approximate energy minimization via graph cuts.minimization via graph cuts.
(PAMI 2001)(PAMI 2001)
(3) Video epitomes. (CVPR 2005)(3) Video epitomes. (CVPR 2005)
(4) Epitomic analysis of (4) Epitomic analysis of appearance and shape .appearance and shape .
(ICCV 2003)(ICCV 2003)
Clustering appearance and shape by Clustering appearance and shape by Jigsaw, and comparing it with Epitome.Jigsaw, and comparing it with Epitome.
Jigsaw vs. EpitomeJigsaw vs. Epitome
Patch-based probabilistic model.Patch-based probabilistic model.
JigsawJigsaw EpitomeEpitome
Appropriate patch Appropriate patch size and shape is size and shape is automatically learnt automatically learnt while learningwhile learning
Patch size and Patch size and shape is fixed shape is fixed before learning.before learning.