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» Application of Level Set Methods in Computer Vision
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ICCTA
2007
IEEE
16 years 20 days ago
Stabilisation of Active Contours Using Tangential Evolution: An Application to Tracking
— Active contours are very widely used in computer vision problems. Their usage has a typical problem, that of bunching together of curve points. This becomes apparent especially...
Viswanathan Srikrishnan, Subhasis Chaudhuri, Suman...
CVPR
2008
IEEE
16 years 8 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
ICCV
2007
IEEE
16 years 20 days ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
CVPR
2011
IEEE
15 years 2 months ago
Learning a Blind Measure of Perceptual Image Quality
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; howe...
Huixuan Tang, Neel Joshi, Ashish Kapoor
CVPR
2007
IEEE
16 years 8 months ago
Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
Recent research in visual inference from monocular images has shown that discriminatively trained image-based predictors can provide fast, automatic qualitative 3D reconstructions...
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...