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Journal ArticleDOI

Genetic Algorithm for the Extraction of Nonanalytic Objects from Multiple Dimensional Parameter Space

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TLDR
By using the genetic approach to extract peaks in the parameter space, the physical storage for the 4D Hough parameter domain is not required during the detection while the accuracy of the detected parameters can be significantly improved.
About
This article is published in Computer Vision and Image Understanding.The article was published on 1999-01-01. It has received 19 citations till now. The article focuses on the topics: Hough transform & Fitness function.

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Citations
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Journal ArticleDOI

Dynamic flies: a new pattern recognition tool applied to stereo sequence processing

TL;DR: The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications, which evolves a population which constitutes a particle-based three-dimensional representation of the scene.
Journal ArticleDOI

Shape matching of partially occluded curves invariant under projective transformation

TL;DR: The experimental results showed that the present algorithm can cope with noisy figures, projective transformations, and complex occlusions.
Journal ArticleDOI

Image analysis and computer vision: 1999

TL;DR: A bibliography of nearly 1700 references related to computer vision and image analysis, arranged by subject matter is presented, including computational techniques; feature detection and segmentation; image and scene analysis; and motion.
Journal ArticleDOI

Using an Individual Evolution Strategy for Stereovision

TL;DR: The “fly algorithm” is an individual evolution strategy developed for parameter space exploration in computer vision applications and Classical evolutionary operators (sharing, mutation, crossover) are used.
Book ChapterDOI

Dynamic Flies: Using Real-Time Parisian Evolution in Robotics

TL;DR: This paper presents how the evolutionary scene analysis can be continuously updated and integrated into a specific real-time mobile robot navigation system.
References
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Book

Adaptation in natural and artificial systems

TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Journal ArticleDOI

Generalizing the hough transform to detect arbitrary shapes

TL;DR: It is shown how the boundaries of an arbitrary non-analytic shape can be used to construct a mapping between image space and Hough transform space, which makes the generalized Houghtransform a kind of universal transform which can beused to find arbitrarily complex shapes.
Journal ArticleDOI

A survey of the Hough transform

TL;DR: This survey will provide a useful guide to quickly acquaint researchers with the main literature in this research area and it seems likely that the Hough transform will be an increasingly used technique.
Related Papers (5)