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Local Features in Natural Images Via Singularity Theory

Local Features in Natural Images Via Singularity Theory - Lecture Notes in Mathematics

1st ed. 2017

Paperback (01 Oct 2016)

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Publisher's Synopsis

This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer's eye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visual properties. When the scene is illuminated by a single principal light source, we further include the visual clues resulting from the interaction of the geometric features of objects, the shade/shadow regions on the objects, and the "apparent contours".  We do so by a mathematical analysis using a repertoire of methods in singularity theory. This is applied for generic light directions of both the "stable configurations" for these interactions, whose features remain unchanged under small viewer movement, and the generic changes which occur under changes of view directions. These may then be used to differentiate between objects and determine their shapes and positions.

Book information

ISBN: 9783319414706
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st ed. 2017
DEWEY: 515.94
DEWEY edition: 23
Language: English
Number of pages: 255
Weight: 4102g
Height: 235mm
Width: 155mm
Spine width: 14mm