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Revisiting Skeletons from Natural Images
Date
2015-01-01
Author
Erdem, Mehmet Erkut
Tarı, Zehra Sibel
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In the last two decades there have been several works promoting shape fields that implicitly encode local convexity/concavity properties of the shape boundary. These shape fields are formulated either as solutions to Poisson type PDEs or via heuristic approximations to them. The v-field of Tari-Shah-Pien, can be computed directly from a real image; thus, suggests a mechanism to bridge low level visual processing and high level shape computations. We revisit Tari, Shah and Pien’s v-field approach and extend its application to complex images with texture. We relate v-field value at a skeleton point to the distance of the point from a putative shape boundary, and use this relation to extract semantic image patches. At the end of the chapter, we experimentally compare the medial locus computed from the new v-field to that of Kimia et al.
Subject Keywords
Shape Interior
,
Visual Processing
,
High Level
,
Edge Diffusivity
,
Skeleton Point
,
Shape Boundary
URI
http://www.springer.com/in/book/9783319163475
https://hdl.handle.net/11511/85467
https://link.springer.com/book/10.1007/978-3-319-16348-2
Relation
Research in Shape Modeling
Collections
Department of Computer Engineering, Book / Book chapter
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M. E. Erdem and Z. S. Tarı,
Revisiting Skeletons from Natural Images
. 2015, p. 112.