Results 291 to 300 of about 4,780,938 (334)
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Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, 1997
Scale-space is an important recent concept used in image processing and pattern recognition. Traditional scale-space is generated by a linear smoothing operation. The author presents a nonlinear type of smoother related to mathematical morphology which meets (modified) 'scale-space axioms' and also generates a 'scale-space'.
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Scale-space is an important recent concept used in image processing and pattern recognition. Traditional scale-space is generated by a linear smoothing operation. The author presents a nonlinear type of smoother related to mathematical morphology which meets (modified) 'scale-space axioms' and also generates a 'scale-space'.
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International Journal of Computer Vision, 2003
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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From Gaussian scale-space to B-spline scale-space
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258), 1999The Gaussian kernel has long been used in the classical multiscale analysis. The purpose of the paper is to propose the uniform B-spline as an alternative for the visual modeling. A general framework for various scale-space representations is formulated using the B-spline approach.
Wang, Yu-Ping, Lee, S.L.
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The Scales of Innovation Spaces
2008This compact and authoritative book brings together the topical themes of networks and governance to advance understanding of the determinants of local economic development in the context of increasingly global relationships.
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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.
Max Fischer +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.
Max Fischer +3 more
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[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003
Scale-space is a representation for detecting and organising intensity changes that occur at various scales in an image. A single-chip VLSI design is proposed for scale-space computation in one and two dimensions. The architecture of the chip is based on an algorithm that can provide speeds that are an order of magnitude higher than the speeds ...
Nagarajan Ranganathan, Mubarak Shah
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Scale-space is a representation for detecting and organising intensity changes that occur at various scales in an image. A single-chip VLSI design is proposed for scale-space computation in one and two dimensions. The architecture of the chip is based on an algorithm that can provide speeds that are an order of magnitude higher than the speeds ...
Nagarajan Ranganathan, Mubarak Shah
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Antipode, 1989
AbstractsThe importance of spatial variations for social behaviour has recently been re‐established in social theory. But, paradoxically, space does not exist in the sense of being an object that can have properties and effects. How, then, are these two axioms to be reconciled? Recent attempts to solve this question have been centred around the concept
Mike Savage, Simon Duncan
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AbstractsThe importance of spatial variations for social behaviour has recently been re‐established in social theory. But, paradoxically, space does not exist in the sense of being an object that can have properties and effects. How, then, are these two axioms to be reconciled? Recent attempts to solve this question have been centred around the concept
Mike Savage, Simon Duncan
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1992
We introduce a novel notion of scale for signals which we illustrate for shape. It is based on the notion of entropy and a view of shocks as “black holes of information”. We propose that to properly place features in a hierarchy, we need both linear, global, and instantaneously propagated smoothing (e.g.
Benjamin B. Kimia +6 more
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We introduce a novel notion of scale for signals which we illustrate for shape. It is based on the notion of entropy and a view of shocks as “black holes of information”. We propose that to properly place features in a hierarchy, we need both linear, global, and instantaneously propagated smoothing (e.g.
Benjamin B. Kimia +6 more
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WIREs Computational Statistics, 2010
AbstractWe discuss methods that use multiscale smoothing for explorative data analysis and inference. The problems considered involve nonparametric density estimation and regression, time series analysis, image analysis, and more general spatial data analysis settings.
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AbstractWe discuss methods that use multiscale smoothing for explorative data analysis and inference. The problems considered involve nonparametric density estimation and regression, time series analysis, image analysis, and more general spatial data analysis settings.
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