Results 211 to 220 of about 348,539 (265)

Active shape models unleashed

SPIE Proceedings, 2011
Active Shape Models (ASMs) are a popular family of segmentation algorithms which combine local appearance models for boundary detection with a statistical shape model (SSM). They are especially popular in medical imaging due to their ability for fast and accurate segmentation of anatomical structures even in large and noisy 3D images.
Matthias Kirschner, Stefan Wesarg
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Active shape lip modeling

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
We present a model for the lips using the active shape model (ASM) based on Bezier curves which can capture the dynamics of the lips efficiently. The curves are defined only by a few points that can be used as visual speech features. Using some measured feature points, we can recover the full model of the lips especially for those features which are ...
Shdaifat, Islam, Grigat, Rolf-Rainer, Langmann, Detlev   +2 more
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Regularized active shape model for shape alignment

2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, 2008
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, the extracted shape contour modeled by PCA is still unsmooth when the shape has a large variation compared with the mean shape.
Ran He 0001, Zhen Lei 0001, Xiaotong Yuan, Stan Z. Li   +3 more
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Active Shape Modeling with Electric Flows

IEEE Transactions on Visualization and Computer Graphics, 2010
Physics-based particle systems are an effective tool for shape modeling. Also, there has been much interest in the study of shape modeling using deformable contour approaches. In this paper, we describe a new deformable model with electric flows based upon computer simulations of a number of charged particles embedded in an electrostatic system. Making
Chang H.-H., Valentino D.J., Chu W.-C.
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Full Multiresolution Active Shape Models

Journal of Mathematical Imaging and Vision, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Juan J. Cerrolaza, Arantxa Villanueva, Federico Sukno, Constantine Butakoff, Alejandro F. Frangi, Rafael Cabeza   +5 more
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Vertebral Shape: Automatic Measurement with Active Shape Models

Radiology, 1999
The shape and appearance of the spine on lateral dual x-ray absorptiometry scans were statistically modeled. To measure vertebral shape accurately, rapidly, and automatically with a computer, this trained model was matched to findings on previously unseen scans.
Smyth, Paul P., Taylor, Christopher J.; id_orcid 0000-0001-7867-9533, Adams, Judith E.   +2 more
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Active Shape Models in Practice

2008
Active Shape Models (ASM) were proposed in the last decade of the 20th century as a versatile method of object localization and recognition. The theoretical concept on which the algorithm is based seems very attractive but the practical value of this technique still needs to be verified.
Maciej Smiatacz, Witold Malina
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The Bunch-Active Shape Model

2005
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-ASM), based on the standard ASM, to automatically locate facial feature points in Face Recognition.
Jingcai Fan, Hongxun Yao, Wen Gao 0001, Yazhou Liu, Xin Liu 0047   +4 more
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Geometric active deformable models in shape modeling

IEEE Transactions on Image Processing, 2000
This paper analyzes the problem of shape modeling using the principle of active geometric deformable models. While the basic modeling technique already exists in the literature, we highlight many of its drawbacks and discuss their source and steps to overcome them. We propose a new stopping criterion to address the stopping problem.
Haiyan Wang, Bijoy K. Ghosh
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Automatic measurement of vertebral shape using active shape models

Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96, 1996
In this paper, we describe how Active Shape Models (ASMs) have been used to accurately and robustly locate vertebrae in lateral Dual Energy Xray Absorptiometry (DXA) images of the spine. DXA images are of low spatial resolution, and contain significant random and structural noise, providing a difficult challenge for object location methods.
Paul P. Smyth, Christopher J. Taylor 0001, Judith E. Adams   +2 more
openaire   +4 more sources