Results 261 to 270 of about 9,624,872 (292)
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Proceedings of 13th International Conference on Pattern Recognition, 1996
Viewing images as distributions of light quanta enables an information theoretic study of image structures on different scales. This article combines Shannon's entropy and Witkin and Koenderink's scale-space to establish a precise connection between the heat equation and the thermodynamic entropy in scale-space.
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Viewing images as distributions of light quanta enables an information theoretic study of image structures on different scales. This article combines Shannon's entropy and Witkin and Koenderink's scale-space to establish a precise connection between the heat equation and the thermodynamic entropy in scale-space.
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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1993
Currently the aspect graph is computed under the assumption of perfect resolution in the viewpoint, the projected image, and the object shape. Visual detail is represented that an observer might never see in practice. By introducing scale into this framework, a mechanism is provided for selecting levels of detail that are large enough to merit explicit
David W. Eggert +4 more
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Currently the aspect graph is computed under the assumption of perfect resolution in the viewpoint, the projected image, and the object shape. Visual detail is represented that an observer might never see in practice. By introducing scale into this framework, a mechanism is provided for selecting levels of detail that are large enough to merit explicit
David W. Eggert +4 more
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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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The Scaling of Animal Space Use
Science, 2004Space used by animals increases with increasing body size. Energy requirements alone can explain how population density decreases, but not the steep rate at which home range area increases. We present a general mechanistic model that predicts the frequency of interaction, spatial overlap, and loss of resources to neighbors. Extensive empirical evidence
Walter, Jetz +3 more
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Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 2006
Over the last 30 years, scale space representations have emerged as a fundamental tool for allowing systems to become increasingly robust against changes in camera viewpoint. Unfortunately, the implementation details that are required to properly construct a scale space representation are not published in the literature.
Ross S. Eaton +4 more
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Over the last 30 years, scale space representations have emerged as a fundamental tool for allowing systems to become increasingly robust against changes in camera viewpoint. Unfortunately, the implementation details that are required to properly construct a scale space representation are not published in the literature.
Ross S. Eaton +4 more
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Statistical analysis of scale-space
Signal Processing, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vijaykumar A. Topkar, Arun K. Sood
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Scale-Spaces, PDE’s, and Scale-Invariance
2001In the literature an image scale-space is usually defined as the solution of an initial value problem described by a PDE, such as a linear or nonlinear diffusion equation. Alternatively, scale-spaces can be defined in an axiomatic way starting from a fixed-scale image operator (e.g.
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Localization Scale Selection for Scale-Space Segmentation
2005In this work the relation between scale-space image segmentation and selection of the localization scale is examined first, and a scale selection approach is consequently proposed in the segmentation context. Considering the segmentation part, gradient watersheds are applied to the non-linear scale-space domain followed by a grouping operation.
Sokratis Makrogiannis +1 more
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1997
Image formation of a two-dimensional input image can be quantified by imposing an image induced connection and computing the associated torsion and curvature. The latter aspects of image formation are especially nonvanishing at sets of discontinuities and non-isolated singularities, such as ridges and ruts.
Salden, A.H. +2 more
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Image formation of a two-dimensional input image can be quantified by imposing an image induced connection and computing the associated torsion and curvature. The latter aspects of image formation are especially nonvanishing at sets of discontinuities and non-isolated singularities, such as ridges and ruts.
Salden, A.H. +2 more
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Optical flow in the scale space
1997There exists optical flow in the multiscale representation of an image if this representation is viewed as an image sequence in the “time” domain. The ill-posed tracking problem in the scale-space can be robustly solved by this method. The perceptual effect of any multiscale representation can be greatly improved by the so-called “pull-back” technique.
Qing Yang 0002, Songde Ma
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