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portada Dense Image Correspondences for Computer Vision
Type
Physical Book
Publisher
Author
Language
English
Pages
295
Format
Paperback
Dimensions
23.4x15.6x1.7 cm
Weight
0.44 kg.
ISBN13
9783319359144
Edition No.
1
Categories

Dense Image Correspondences for Computer Vision

Hassner, Tal ; Liu, Ce (Author) · Springer · Paperback

Dense Image Correspondences for Computer Vision - Hassner, Tal ; Liu, Ce

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Synopsis "Dense Image Correspondences for Computer Vision"

Introduction.- Part I - Establishing dense correspondences.- Classic dense-correspondence estimation - Horn & Schunck, Lucas & Kanade, and beyond.- SIFT-Flow - Correspondences beyond same-scene image pairs.- SIFTS and Scales - Correspondences with scale differences.- Patchmatch - Fast correspondence estimation.- SIFT-Pack - Same SIFTs for a smaller price.- Segmentation-Flow.- Part II - Dense correspondences and their applications.- Depth by example - From images to depth and back.- Label-transfer.- Depth-transfer.- Image similarity.- Dense-Flow and ancient texts.- Computational photography - super-resolution and de-noising.- Biometrics.- Image hallucination.- Part III - Analyzing images as videos.- Annotation propagation.- Object discovery and co-segmentation.- Appendix.

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