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» A Statistical Shape Model without Using Landmarks
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ISBI
2008
IEEE
14 years 9 months ago
Landmark selection for shape model construction via equalization of variance
Model-based segmentation approaches, such as those employing Active Shape Models (ASMs), have proved to be useful for medical image segmentation and understanding. To build the mo...
Sylvia Rueda, Jayaram K. Udupa, Li Bai
VISUALIZATION
2005
IEEE
14 years 2 months ago
Evolutionary Morphing
We introduce a technique to visualize the gradual evolutionary change of the shapes of living things as a morph between known three-dimensional shapes. Given geometric computer mo...
David F. Wiley, Nina Amenta, Dan A. Alcantara, Deb...
CVPR
2009
IEEE
15 years 3 months ago
Fast Multiple Shape Correspondence by Pre-Organizing Shape Instances
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In general, shapecorrespondenc...
Andrew Temlyakov, Brent C. Munsell, Song Wang
AVBPA
2005
Springer
279views Biometrics» more  AVBPA 2005»
14 years 2 months ago
Active Shape Models with Invariant Optimal Features (IOF-ASMs)
Abstract. This paper is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view ima...
Federico Sukno, Sebastián Ordas, Constantin...
CVPR
2012
IEEE
11 years 11 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin