A Theory of Shape Identification
Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases. They have been applied to image stitching, stereo vision, image mosaics, solid object recognition and video or web image retrieval. More fundamentally, the ability of humans and animals...
Κύριοι συγγραφείς: | , , , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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Σειρά: | Lecture Notes in Mathematics,
1948 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Extracting Image boundaries
- Extracting Meaningful Curves from Images
- Level Line Invariant Descriptors
- Robust Shape Directions
- Invariant Level Line Encoding
- Recognizing Level Lines
- A Contrario Decision: the LLD Method
- Meaningful Matches: Experiments on LLD and MSER
- Grouping Shape Elements
- Hierarchical Clustering and Validity Assessment
- Grouping Spatially Coherent Meaningful Matches
- Experimental Results
- The SIFT Method
- The SIFT Method
- Securing SIFT with A Contrario Techniques.