Results 11 to 20 of about 1,008,179 (297)
Active Shape Models and the Shape Approximation Problem. [PDF]
Procedings of the British Machine Vision Conference 1995, 1995 Active Shape Models (ASM) use an iterative algorithm to match statistically defined models of known but variable objects to instances in images. Each iteration of ASM search involves two steps: image data interrogation and shape approximation. Here we consider the shape approximation step in detail.
Hill, A, Cootes, TF, Taylor, CJ.
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GEOMETRIC IDENTITIES IN STEREOLOGICAL PARTICLE ANALYSIS
Image Analysis and Stereology, 2011 The paper reviews recent findings about geometric identities in integral geometry and geometric tomography, and their statistical application to stereological particle analysis. Open questions are discussed.
Stephan Kötzer
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Active Shape Models — ‘Smart Snakes’ [PDF]
Procedings of the British Machine Vision Conference 1992, 1992 We describe ‘Active Shape Models’ which iteratively adapt to refine estimates of the pose, scale and shape of models of image objects. The method uses flexible models derived from sets of training examples. These models, known as Point Distribution Models, represent objects as sets of labelled points.
Cootes, TF, Taylor, Christopher
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From clamped local shape models to global shape model [PDF]
2013 IEEE International Conference on Image Processing, 2013 Facial fiducial point localization is a crucial step for most facial analysis applications, e.g., face recognition, expression recognition and facial aging simulation. Although state-of-art methods have the ability to provide good salient point location on frontal faces, finding a global solution under large variations caused by off-plane rotations and
Hui Fang +3 more
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Modelling of Orthogonal Craniofacial Profiles
Journal of Imaging, 2017 We present a fully-automatic image processing pipeline to build a set of 2D morphable models of three craniofacial profiles from orthogonal viewpoints, side view, front view and top view, using a set of 3D head surface images.
Hang Dai, Nick Pears, Christian Duncan
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Medical Image Analysis, 2013 We present a method to compute the conditional distribution of a statistical shape model given partial data. The result is a "posterior shape model", which is again a statistical shape model of the same form as the original model. This allows its direct use in the variety of algorithms that include prior knowledge about the variability of a class of ...
Albrecht, Thomas +3 more
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Modelling the shape of the pig scapula
Genetics Selection Evolution, 2020 Background The shape of pig scapula is complex and is important for sow robustness and health. To better understand the relationship between 3D shape of the scapula and functional traits, it is necessary to build a model that explains most of the ...
Øyvind Nordbø
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Applications of system dynamics modelling to computer music [PDF]
, 2000 Based on a composer's psycho-acoustic imagination or response to music, system dynamics modelling and simulation tools can be used as a scoring device to map the structural dynamic shape of interest of computer music compositions.
Whalley, Ian
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Eccentric Ellipsoidal Red Giant Binaries in the LMC: Complete Orbital Solutions and Comments on Interaction at Periastron [PDF]
, 2012 Modelling ellipsoidal variables with known distances can lead to exact determination of the masses of both components, even in the absence of eclipses. We present such modelling using light and radial velocity curves of ellipsoidal red giant binaries in ...
Artymowicz +45 more
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Silva Fennica, 2014 A simple and efficient photometric methodology is presented, covering all steps from field data acquisition to binarization and allowing for leaf contour modelling.
Henke, Michael +3 more
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