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MICCAI
2010
Springer
13 years 8 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
IPMI
2005
Springer
14 years 3 months ago
Automatic Prediction of Myocardial Contractility Improvement in Stress MRI Using Shape Morphometrics with Independent Component
Abstract. An important assessment in patients with ischemic heart disease is whether myocardial contractility may improve after treatment. The prediction of myocardial contractilit...
Avan Suinesiaputra, Alejandro F. Frangi, Hildo J. ...
SCALESPACE
2009
Springer
14 years 4 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
MVA
2000
160views Computer Vision» more  MVA 2000»
13 years 11 months ago
Self-Calibration from Optical Flow and Its Reliability Evaluation
An algorithm is presented for 3-D reconstruction from optical flow observed by an uncalibrated camera. We show that by incorporating a statistical model of image noise, we can not...
Kenichi Kanatani
FGR
2000
IEEE
162views Biometrics» more  FGR 2000»
14 years 1 months ago
Person Tracking in Real-World Scenarios Using Statistical Methods
This paper presents a novel approach to robust and flexible person tracking using an algorithm that combines two powerful stochastic modeling techniques: The first one is the tech...
Gerhard Rigoll, Stefan Eickeler, Stefan Mülle...