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» Light Fields and Computational Imaging
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96
Voted
VIS
2004
IEEE
146views Visualization» more  VIS 2004»
15 years 11 months ago
Tracking of Vector Field Singularities in Unstructured 3D Time-Dependent Datasets
In this paper, we present an approach for monitoring the positions of vector field singularities in time-dependent datasets. The concept of singularity index is discussed and exte...
Christoph Garth, Xavier Tricoche, Gerik Scheuerman...
CVPR
1998
IEEE
16 years 3 days ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas
87
Voted
VIS
2004
IEEE
140views Visualization» more  VIS 2004»
15 years 11 months ago
Vector Wavelet Thresholding for Vector Field Denoising
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
Michel A. Westenberg, Thomas Ertl
BILDMED
2009
162views Algorithms» more  BILDMED 2009»
14 years 11 months ago
Extracting a Purely Non-rigid Deformation Field of a Single Structure
During endovascular aortic repair (EVAR) treatment, the aortic shape is subject to severe deformation that is imposed by medical instruments such as guide wires, catheters, and the...
Stefanie Demirci, Frode Manstad-Hulaas, Nassir Nav...
EMMCVPR
2005
Springer
15 years 3 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert