Search Results - "Zucker, S.W."
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1
Indexing hierarchical structures using graph spectra
Published in IEEE transactions on pattern analysis and machine intelligence (01-07-2005)“…Hierarchical image structures are abundant in computer vision and have been used to encode part structure, scale spaces, and a variety of multiresolution…”
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2
Greedy Basis Pursuit
Published in IEEE transactions on signal processing (01-07-2007)“…We introduce greedy basis pursuit (GBP), a new algorithm for computing sparse signal representations using overcomplete dictionaries. GBP is rooted in…”
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3
Matching hierarchical structures using association graphs
Published in IEEE transactions on pattern analysis and machine intelligence (01-11-1999)“…It is well-known that the problem of matching two relational structures can be posed as an equivalent problem of finding a maximal clique in a (derived)…”
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4
The perceptual organization of texture flow: a contextual inference approach
Published in IEEE transactions on pattern analysis and machine intelligence (01-04-2003)“…Locally parallel dense patterns-sometimes called texture flows-define a perceptually coherent structure of particular significance to perceptual organization…”
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5
Sketches with curvature: the curve indicator random field and Markov processes
Published in IEEE transactions on pattern analysis and machine intelligence (01-04-2003)“…While complaints about typical edge operators are common, proposals articulating a notion of the "perfect" edge map are comparatively rare, hindering the…”
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6
Area and length minimizing flows for shape segmentation
Published in IEEE transactions on image processing (01-03-1998)“…A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation,…”
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Trace inference, curvature consistency, and curve detection
Published in IEEE transactions on pattern analysis and machine intelligence (01-08-1989)“…An approach is described for curve inference that is based on curvature information. The inference procedure is divided into two stages: a trace inference…”
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On the perceptual organization of texture and shading flows: from a geometrical model to coherence computation
Published in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 (2001)“…Locally parallel dense patterns - sometimes called texture flows define a perceptually coherent structure which is important to image segmentation, edge…”
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Conference Proceeding -
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Audio-Visual Group Recognition Using Diffusion Maps
Published in IEEE transactions on signal processing (01-01-2010)“…Data fusion is a natural and common approach to recovering the state of physical systems. But the dissimilar appearance of different sensors remains a…”
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10
Differential Geometric Inference in Surface Stereo
Published in IEEE transactions on pattern analysis and machine intelligence (01-01-2010)“…Many traditional two-view stereo algorithms explicitly or implicitly use the frontal parallel plane assumption when exploiting contextual information since,…”
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Local scale control for edge detection and blur estimation
Published in IEEE transactions on pattern analysis and machine intelligence (01-07-1998)“…We show that knowledge of sensor properties and operator norms can be exploited to define a unique, locally computable minimum reliable scale for local…”
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12
constant production hypothesis guides leaf venation patterning
Published in Proceedings of the National Academy of Sciences - PNAS (13-06-2006)“…We propose a theoretical mechanism that enables the elaboration of veins to supply distant cells during leaf development. In contrast to the more standard view…”
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13
Singularities of principal direction fields from 3-D images
Published in IEEE transactions on pattern analysis and machine intelligence (01-03-1992)“…Generic singularities can provide position-independent information about the qualitative shape of surfaces. The authors determine the singularities of the…”
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14
Indexing using a spectral encoding of topological structure
Published in Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) (1999)“…In an object recognition system, if the extracted image features are multilevel or multiscale, the indexing structure may take the form of a tree. Such…”
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Conference Proceeding -
15
Surface Geometric Constraints for Stereo in Belief Propagation
Published in 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06) (2006)“…Belief propagation has been shown to be a powerful inference mechanism for stereo correspondence. However the classical formulation of belief propagation…”
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16
Logical/linear operators for image curves
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-1995)“…We propose a language for designing image measurement operators suitable for early vision. We refer to them as logical/linear (L/L) operators, since they unify…”
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On the Differential Geometry of 3D Flow Patterns: Generalized Helicoids and Diffusion MRI Analysis
Published in 2007 IEEE 11th International Conference on Computer Vision (01-10-2007)“…Configurations of dense locally parallel 3D curves occur in medical imaging, computer vision and graphics. Examples include white matter fibre tracts,…”
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18
The Hamilton-Jacobi skeleton
Published in Proceedings of the Seventh IEEE International Conference on Computer Vision (1999)“…The eikonal equation and variants of it are of significant interest for problems in computer vision and image processing. It is the basis for continuous…”
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19
Hue fields and color curvatures: a perceptual organization approach to color image denoising
Published in 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings (2003)“…The denoising of color images is an increasingly studied problem whose state-of-the-art solutions employ a variety of diffusion schemes. Specifying the correct…”
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Shadows and shading flow fields
Published in Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1996)“…Many presume that parsing the shadows out of an image is a high-level task, because of the global nature of the shadow formation process. But…”
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Conference Proceeding