Journal ArticleDOI
A new approach to scale-space image
Bimal Kumar Ray,Kumar S. Ray +1 more
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TLDR
A new approach to scale-space image is presented based on recent work on polygonal approximation and a method for corner detection is proposed.About:
This article is published in Pattern Recognition Letters.The article was published on 1994-04-01. It has received 1 citations till now. The article focuses on the topics: Polygonal chain & Corner detection.read more
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Journal ArticleDOI
Natural landmark-based autonomous vehicle navigation
Raj Madhavan,Hugh Durrant-Whyte +1 more
TL;DR: A curvature scale space algorithm is developed to locate points of maximum curvature, extracted from laser scan data, as point landmarks in an extended Kalman filter, which can be used as stable and reliable landmarks in a localization algorithm.
References
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Book ChapterDOI
Scale-space filtering
TL;DR: Scale-space filtering is a method that describes signals qualitatively, managing the ambiguity of scale in an organized and natural way.
Journal ArticleDOI
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
F. Mokhtarian,Alan K. Mackworth +1 more
TL;DR: The problem of finding a description, at varying levels of detail, for planar curves and matching two such descriptions is posed and solved and the result is the ``generalized scale space'' image of a planar curve which is invariant under rotation, uniform scaling and translation of the curve.
Journal ArticleDOI
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
TL;DR: It is shown that the Gaussian probability density function is the only kernel in a broad class for which first-order maxima and minima, respectively, increase and decrease when the bandwidth of the filter is increased.
Journal ArticleDOI
The Curvature Primal Sketch
Haruo Asada,J. Michael Brady +1 more
TL;DR: An implemented algorithm is described that computes the Curvature Primal Sketch by matching the multiscale convolutions of a shape, and its performance on a set of tool shapes is illustrated.
Journal ArticleDOI
On the detection of dominant points on digital curves
C.-H. Teh,Roland T. Chin +1 more
TL;DR: A parallel algorithm for detecting dominant points on a digital closed curve is presented, which leads to the observation that the performance of dominant points detection depends not only on the accuracy of the measure of significance, but also on the precise determination of the region of support.
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A New Approach for Polygonal Approximation of Shape Contours using Genetic Algorithm
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