Results 231 to 240 of about 984,019 (267)
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SIGNAL MATCHING THROUGH SCALE SPACE
International Journal of Computer Vision, 1987Given a collection of similar signals that have been deformed with respect to each other, the general signal-matching problem is to recover the deformation. We formulate the problem as the minimization of an energy measure that combines a smoothness term and a similarity term.
Andrew Witkin +2 more
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Image and Vision Computing, 1997
It is argued that image measurements should satisfy two requirements of physical plausibility: the measurements are of non-zero scale and non-zero imprecision; and two required invariances, nothing is lost by expanding the image and nothing is lost by increasing the contrast of the image.
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It is argued that image measurements should satisfy two requirements of physical plausibility: the measurements are of non-zero scale and non-zero imprecision; and two required invariances, nothing is lost by expanding the image and nothing is lost by increasing the contrast of the image.
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2011
Vor dem Hintergrund der fraktalen Geometrie wird in diesem Kapitel das scale space filtering erlautert. Dabei wird eine Oberflache in unterschiedlichen „ Vergroserungen“ betrachtet und untersucht, ob dabei sich wiederholende Strukturen auftreten. Als praktische Anwendung hat diese Technik gute Ergebnisse bei der Qualitatskontrolle von Oberflachen, z.B.
Alfred Nischwitz +3 more
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Vor dem Hintergrund der fraktalen Geometrie wird in diesem Kapitel das scale space filtering erlautert. Dabei wird eine Oberflache in unterschiedlichen „ Vergroserungen“ betrachtet und untersucht, ob dabei sich wiederholende Strukturen auftreten. Als praktische Anwendung hat diese Technik gute Ergebnisse bei der Qualitatskontrolle von Oberflachen, z.B.
Alfred Nischwitz +3 more
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2019
We introduce a novel scale-space concept that is inspired by inpainting-based lossy image compression and the recent denoising by inpainting method of Adam et al. (2017). In the discrete setting, the main idea behind these so-called sparsification scale-spaces is as follows: Starting with the original image, one subsequently removes a pixel until a ...
Cárdenas, Marcelo +2 more
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We introduce a novel scale-space concept that is inspired by inpainting-based lossy image compression and the recent denoising by inpainting method of Adam et al. (2017). In the discrete setting, the main idea behind these so-called sparsification scale-spaces is as follows: Starting with the original image, one subsequently removes a pixel until a ...
Cárdenas, Marcelo +2 more
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2005
In this paper we extend the notion of Poisson scale-space. We propose a generalisation inspired by the linear parabolic pseudodifferential operator $\sqrt{-\Delta+m^2}-m$, 0≤m, connected with models of relativistic kinetic energy from quantum mechanics.
Bernhard Burgeth +2 more
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In this paper we extend the notion of Poisson scale-space. We propose a generalisation inspired by the linear parabolic pseudodifferential operator $\sqrt{-\Delta+m^2}-m$, 0≤m, connected with models of relativistic kinetic energy from quantum mechanics.
Bernhard Burgeth +2 more
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1987
The extrema in a signal and its first few derivatives provide a useful general-purpose qualitative description for many kinds of signals. A fundamental problem in computing such descriptions is scale: a derivative must be taken over some neighborhood, but there is seldom a principled basis for choosing its size.
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The extrema in a signal and its first few derivatives provide a useful general-purpose qualitative description for many kinds of signals. A fundamental problem in computing such descriptions is scale: a derivative must be taken over some neighborhood, but there is seldom a principled basis for choosing its size.
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Multidimensional scaling in riemannian space
Journal of Mathematical Psychology, 1975Abstract A metric which is a function of position is proposed for the analysis of the intrinsic geometry involved in preference or similarity judgments. Variation in the distance function or metric is characteristic of the Riemannian spaces and may be interpreted as curvature, stress or distortion in distance estimates and thus in the subjective ...
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Scaling of Program Fitness Spaces
Evolutionary Computation, 1999We investigate the distribution of fitness of programs concentrating on those represented as parse trees and, particularly, how such distributions scale with respect to changes in the size of the programs. By using a combination of enumeration and Monte Carlo sampling on a large number of problems from three very different areas, we suggest that, in ...
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The biofilm matrix: multitasking in a shared space
Nature Reviews Microbiology, 2022Hans-Curt Flemming +2 more
exaly
2001
We investigate the deep structure of a scale space image. We concentrate on scale space critical points – points with vanishing gradient with respect to both spatial and scale direction. We show that these points are always saddle points. They turn out to be extremely useful, since the iso-intensity manifolds through these points provide a scale space ...
Kuijper, A. +2 more
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We investigate the deep structure of a scale space image. We concentrate on scale space critical points – points with vanishing gradient with respect to both spatial and scale direction. We show that these points are always saddle points. They turn out to be extremely useful, since the iso-intensity manifolds through these points provide a scale space ...
Kuijper, A. +2 more
openaire +2 more sources