Results 221 to 230 of about 348,539 (265)
Some of the next articles are maybe not open access.
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +3 more sources
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
openaire +3 more sources
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
openaire +3 more sources
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
openaire +1 more source
Weed Classification by Active Shape Models
Biosystems Engineering, 2005The objective is to present a new method for classification of weed species by image processing based on active shape models. Young weed seedlings with up to two true leaves and without mutual overlapping with other leaves are to be identified. A database containing image examples of 19 of the most important weed species in Danish agricultural fields ...
openaire +2 more sources