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Deformation Models for Image Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007We present the application of different nonlinear image deformation models to the task of image recognition. The deformation models are especially suited for local changes as they often occur in the presence of image object variability. We show that, among the discussed models, there is one approach that combines simplicity of implementation, low ...
Daniel Keysers +3 more
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Deformable template models: A review
Signal Processing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anil K. Jain 0001 +2 more
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Geometric deformable model and segmentation
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002In this paper, we point out some problems associated with existent geometric active contour models, and present a new geometric active contour model. This model can overcome some drawbacks in the previous geometric models. We implement the geometric active contour model using the level set method.
Haiyan Wang, Bijoy K. Ghosh
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CUDA Deformers for Model Reduction
Motion, Interaction and Games, 2020Real-time deformable object simulation is important in interactive applications such as games and virtual reality. One common approach to achieve speed is to employ model reduction, a technique whereby the equations of motion of a deformable object are projected to a suitable low-dimensional space.
Bohan Wang, Jernej Barbic
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Strong Preservation by Model Deformation
2012 Sixth International Symposium on Theoretical Aspects of Software Engineering, 2012Reliable and secure system design requires an increasing number of methods, algorithms, and tools for automatic program manipulation. Any program change corresponds to a transformation that affects the semantics at some given level of abstraction. We call these techniques model deformations.
GIACOBAZZI, Roberto +2 more
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A deformable model for fingerprint matching
Pattern Recognition, 2005The process of automatic fingerprint matching is affected by the nonlinear deformation introduced in the image during fingerprint sensing. Given several template impressions of a finger, we estimate the ''average'' deformation of each template impression by comparing it with the rest of the impressions of that finger.
Arun Ross +2 more
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Parametrically deformable contour models
Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003Segmentation using boundary finding is enhanced both by considering the boundary as a whole and by using model-based shape information. Flexible constraints, in the form of a probabilistic deformable model, are applied to the problem of segmenting natural objects whose diversity and irregularity of shape makes them poorly represented in terms of fixed ...
Lawrence H. Staib, James S. Duncan
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A Sigmoidal Model for Superplastic Deformation
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2005A new phenomenological model, designed to capture the sigmoidal nature of stress dependency on strain rate for superplastic deformation, is presented. The model is developed for the Ti-6Al-2Sn-4Zr-2Mo alloy using data obtained under controlled strain-rate tensile tests spanning a range of strain rates and temperatures, from 930 to 980 °C. The sigmoidal
Pan, W. +4 more
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Modeling crustal deformation--A catalog of deformation models and modeling approaches
2013This manual provides the physical and mathematical concepts for selected models used to interpret deformation measurements near active faults and volcanic centers. The emphasis is on analytical models of deformation that can be compared with data from the Global Positioning System (GPS) receivers, Interferometric synthetic aperture radar (InSAR ...
BATTAGLIA, MAURIZIO +2 more
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A geometrically deformable contour model
1997In this paper, we present a discrete dynamic contour model which simulates a liquid expansion on homogeneous flat surface and the outlining of encountered obstacles. It is implemented as a radial expansion of an initial closed curve which determines a reference region.
Ahmed Raji +3 more
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