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Automatic measurement of vertebral shape using active shape models
Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96, 1996In 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 +2 more
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Evaluating Active Shape Models for Eye-Shape Classification
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008This paper explores the goal of applying Active Shape Models (ASMs) on the eye images to classify eye shapes and identify whether the images belong from left or right irises. In many applications, particular to data collected from single eye capture devices (such as the PIER mobile iris image acquisition device), it is of importance to be able to sort ...
Shuvra Bhat, Marios Savvides
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Shape parameter optimization for Adaboosted active shape model
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005Active shape model (ASM) has been shown to be a powerful tool to aid the interpretation of images, especially in face alignment. ASM local appearance model parameter estimation is based on the assumption that residuals between model fit and data have a Gaussian distribution.
Yuanzhong Li, Wataru Ito
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Tongue shape synthesis based on Active Shape Model
2012 8th International Symposium on Chinese Spoken Language Processing, 2012Nowadays magnetic resonance imaging (MRI) technique has been widely used in speech production research since it acquires high spatial resolution data of vocal tract shape without any known harm of radiation. However, it would be time consuming and expensive to establish an overall articulatory database using MRI technique due to its low temporal ...
Chan Song +5 more
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1998
Active shape models encompass a variety of forms, principally snakes, deformable templates and dynamic contours. Snakes are a mechanism for bringing a certain degree of prior knowledge to bear on low-level image interpretation. Rather than expecting desirable properties such as continuity and smoothness to emerge from image data, those properties are ...
Andrew Blake, Michael Isard
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Active shape models encompass a variety of forms, principally snakes, deformable templates and dynamic contours. Snakes are a mechanism for bringing a certain degree of prior knowledge to bear on low-level image interpretation. Rather than expecting desirable properties such as continuity and smoothness to emerge from image data, those properties are ...
Andrew Blake, Michael Isard
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Double Contour Active Shape Models
Procedings of the British Machine Vision Conference 2005, 2005Statistical shape models are often learned from examples based on landmark correspondences between annotated examples. A method is proposed for learning such models from contours with inconsistent bifurcations and loops. It is evaluated on the task of segmenting tibial contours in knee radiographs. Results are presented using various features, distance
Matthias Seise +3 more
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Active shape model segmentation with optimal features
IEEE Transactions on Medical Imaging, 2002An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the original formulation [Cootes and Taylor, 1995, 1999, and 2001]. A nonlinear kNN-classifier is used, instead of the linear Mahalanobis distance, to find optimal displacements for landmarks ...
Bram van Ginneken +4 more
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Multi-resolution search with active shape models
Proceedings of 12th International Conference on Pattern Recognition, 2002We describe a multiresolution approach to image search using flexible shape models. This is an extension of work on active shape models (ASMs)-statistical models which iteratively deform to match image data. An ASM consists of a shape model controlling a set of landmark points, together with a statistical model of the grey-levels expected around each ...
Cootes, T F +2 more
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Learning Active Shape Models for Bifurcating Contours
IEEE Transactions on Medical Imaging, 2007Statistical shape models are often learned from examples based on landmark correspondences between annotated examples. A method is proposed for learning such models from contours with inconsistent bifurcations and loops. Automatic segmentation of tibial and femoral contours in knee X-ray images is investigated as a step towards reliable, quantitative ...
Matthias Seise +3 more
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Probabilistic Fitting of Active Shape Models
2018Active Shape Models (ASMs) are a classical and widely used approach for fitting shape models to images. In this paper, we propose a fully probabilistic interpretation of ASM fitting as Bayesian inference. To infer the posterior, we use the Metropolis-Hastings algorithm. We then use the maximum a posteriori sample as the segmentation result.
Andreas Morel-Forster +3 more
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