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Characterization and Analysis of the Localized Deformation

by Steven R. Claves, Claves Steven R, The Localized, Alloy Extrudates, Steven R. Claves , 2002
"... Characterization and analysis of the localized deformation of 6xxx aluminum alloy extrudates ..."
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Characterization and analysis of the localized deformation of 6xxx aluminum alloy extrudates

Free-form deformation of solid geometric models

by Thomas W. Sederberg, Scott R. Parry - IN PROC. SIGGRAPH 86 , 1986
"... A technique is presented for deforming solid geometric models in a free-form manner. The technique can be used with any solid modeling system, such as CSG or B-rep. It can deform surface primitives of any type or degree: planes, quadrics, parametric surface patches, or implicitly defined surfaces, f ..."
Abstract - Cited by 701 (1 self) - Add to MetaCart
, for example. The deformation can be applied either globally or locally. Local deformations can be imposed with any desired degree of derivative continuity. It is also possible to deform a solid model in such a way that its volume is preserved. The scheme is based on trivariate Bernstein polynomials

Subspace Integration with Local Deformations

by David Harmon, Denis Zorin
"... Subspace techniques greatly reduce the cost of nonlinear simulation by approximating deformations with a small custom basis. In order to represent the deformations well (in terms of a global metric), the basis functions usually have global support, and cannot capture localized deformations. While re ..."
Abstract - Cited by 8 (0 self) - Add to MetaCart
Subspace techniques greatly reduce the cost of nonlinear simulation by approximating deformations with a small custom basis. In order to represent the deformations well (in terms of a global metric), the basis functions usually have global support, and cannot capture localized deformations. While

Sparse Localized Deformation Components

by Thomas Neumann, Kiran Varanasi, Stephan Wenger, Markus Wacker, Marcus Magnor, Christian Theobalt
"... Figure 1: Our method automatically decomposes any mesh animations like performance captured faces (left) or muscle deformations (right) into sparse and localized deformation modes (shown in blue). Left: a new facial expression is generated by summing deformation components. Our method automatically ..."
Abstract - Cited by 7 (0 self) - Add to MetaCart
Figure 1: Our method automatically decomposes any mesh animations like performance captured faces (left) or muscle deformations (right) into sparse and localized deformation modes (shown in blue). Left: a new facial expression is generated by summing deformation components. Our method automatically

Nonrigid registration using free-form deformations: Application to breast MR images

by D. Rueckert, L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, D. J. Hawkes - IEEE Transactions on Medical Imaging , 1999
"... Abstract — In this paper we present a new approach for the nonrigid registration of contrast-enhanced breast MRI. A hierarchical transformation model of the motion of the breast has been developed. The global motion of the breast is modeled by an affine transformation while the local breast motion i ..."
Abstract - Cited by 697 (36 self) - Add to MetaCart
Abstract — In this paper we present a new approach for the nonrigid registration of contrast-enhanced breast MRI. A hierarchical transformation model of the motion of the breast has been developed. The global motion of the breast is modeled by an affine transformation while the local breast motion

Local grayvalue invariants for image retrieval

by Cordelia Schmid, Roger Mohr - IEEE Transactions on Pattern Analysis and Machine Intelligence , 1997
"... Abstract—This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue invariants which are computed at automatically detected interest points. A voting algorithm and semilocal constraints make retrieval possible. Indexing allows for efficie ..."
Abstract - Cited by 548 (27 self) - Add to MetaCart
Abstract—This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue invariants which are computed at automatically detected interest points. A voting algorithm and semilocal constraints make retrieval possible. Indexing allows

Object Recognition from Local Scale-Invariant Features

by David G. Lowe
"... An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These features share similar properties with neurons in ..."
Abstract - Cited by 2739 (13 self) - Add to MetaCart
in inferior temporal cortex that are used for object recognition in primate vision. Features are efficiently detected through a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local geometric deformations by representing blurred image gradients

Local Deformation of NURBS Curves

by Raphaël La Greca, Marc Daniel, Ra Bruasse - Mathematical Methods for Curves and Surfaces: Tromso 2004 , 2005
"... Abstract. The paper introduces a new geometrical method of NURBS curve deformation providing the satisfaction of N position constraints through control point displacement. The local influence of each constraint is controlled by a function defining a specific deformation which permits to handle a wel ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract. The paper introduces a new geometrical method of NURBS curve deformation providing the satisfaction of N position constraints through control point displacement. The local influence of each constraint is controlled by a function defining a specific deformation which permits to handle a

PCA-SIFT: A more distinctive representation for local image descriptors

by Yan Ke, Rahul Sukthankar , 2004
"... Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently evaluated a variety of approaches and identified the SIFT [11] algorithm as being the most resistant to common image deforma ..."
Abstract - Cited by 591 (6 self) - Add to MetaCart
deformations. This paper examines (and improves upon) the local image descriptor used by SIFT. Like SIFT, our descriptors encode the salient aspects of the image gradient in the feature point's neighborhood; however, instead of using SIFT's smoothed weighted histograms, we apply Principal Components

Measuring local deformation with

by Tomonori Deguchi, Masatane Kato, Hakan Akcin, Hakan Kutoglu
"... interferometric synthetic aperture radar ..."
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interferometric synthetic aperture radar
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