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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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Edge detection of potential-field sources using scale-space monogenic signal: Fundamental principles
, 2015We have developed a new phase-based filter to enhance the edges of geologic sources from potential-field data using the local phase in the Poisson scale-space monogenic signal.
M. Hidalgo-Gato, V. Barbosa
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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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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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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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Scale-space filtering: A new approach to multi-scale description
IEEE International Conference on Acoustics, Speech, and Signal Processing, 1984The 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 ...
A. Witkin
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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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2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008
Local visual homing is the process of determining the direction of movement required to return an agent to a goal location by comparing the current image with an image taken at the goal, known as the snapshot image. One way of accomplishing visual homing is by computing the correspondences between features and then analyzing the resulting flow field to
Andrew Vardy, David Churchill
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Local visual homing is the process of determining the direction of movement required to return an agent to a goal location by comparing the current image with an image taken at the goal, known as the snapshot image. One way of accomplishing visual homing is by computing the correspondences between features and then analyzing the resulting flow field to
Andrew Vardy, David Churchill
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Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions. The method is
T. Ojala +2 more
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Procedings of the British Machine Vision Conference 2003, 2003
Artists pictures rarely have photo-realistic detail. Tools to create pictures from digital photographs might, therefore, include methods for removing detail. These tools such as Gaussian and anisotropic diffusion filters and connected-set morphological filters (sieves) remove detail whilst maintaining scale-space causality, in other words new detail is
J. Andrew Bangham +2 more
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Artists pictures rarely have photo-realistic detail. Tools to create pictures from digital photographs might, therefore, include methods for removing detail. These tools such as Gaussian and anisotropic diffusion filters and connected-set morphological filters (sieves) remove detail whilst maintaining scale-space causality, in other words new detail is
J. Andrew Bangham +2 more
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