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From Gestalt Theory to Image Analysis: A Probabilistic Approach
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This book introduces the reader to a recent theory in Computer Vision yielding elementary techniques to analyse digital images inspired from and are a mathematical formalization of the Gestalt theory, which had never been formalized.Abstract:
This book introduces the reader to a recent theory in Computer Vision yielding elementary techniques to analyse digital images. These techniques are inspired from and are a mathematical formalization of the Gestalt theory. Gestalt theory, which had never been formalized is a rigorous realm of vision psychology developped between 1923 and 1975. From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis. The authors maintain a public software, MegaWave, containing implementations of most of the image analysis techniques developped in the book. The book is intended for researchers and engineers. It is mathematically self-contained and requires only the basic notions in probability and calculus.read more
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Proceedings Article
Robot vision
TL;DR: A scheme is developed for classifying the types of motion perceived by a humanlike robot and equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented.
Journal ArticleDOI
LSD: A Fast Line Segment Detector with a False Detection Control
TL;DR: A linear-time line segment detector that gives accurate results, a controlled number of false detections, and requires no parameter tuning is proposed.
Journal ArticleDOI
Probability and Random Processes
TL;DR: This handbook is a very useful handbook for engineers, especially those working in signal processing, and provides real data bootstrap applications to illustrate the theory covered in the earlier chapters.
Journal ArticleDOI
LSD: a Line Segment Detector
TL;DR: LSD is a linear-time Line Segment Detector giving subpixel accurate results and uses an a contrario validation approach according to Desolneux, Moisan, and Morel’s theory.
Journal ArticleDOI
EDLines: A real-time line segment detector with a false detection control
Cuneyt Akinlar,Cihan Topal +1 more
TL;DR: A linear time line segment detector that gives accurate results, requires no parameter tuning, and runs up to 11 times faster than the fastest known line segment detectors in the literature; hence the name EDLines.
References
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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
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Snakes : Active Contour Models
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