Results 251 to 260 of about 9,619,631 (286)
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A Dynamic Scale–Space Paradigm
Journal of Mathematical Imaging and Vision, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alfons H. Salden +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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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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IEEE Winter Conference on Applications of Computer Vision, 2014
The state-of-the-art SIFT flow has been widely adopted for the general image matching task, especially in dealing with image pairs from similar scenes but with different object configurations. However, the way in which the dense SIFT features are computed at a fixed scale in the SIFT flow method limits its capability of dealing with scenes of large ...
Weichao Qiu +4 more
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The state-of-the-art SIFT flow has been widely adopted for the general image matching task, especially in dealing with image pairs from similar scenes but with different object configurations. However, the way in which the dense SIFT features are computed at a fixed scale in the SIFT flow method limits its capability of dealing with scenes of large ...
Weichao Qiu +4 more
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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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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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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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1995
A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
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A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural
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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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