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» Application of Level Set Methods in Computer Vision
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ACIVS
2007
Springer
15 years 10 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic
CVPR
1999
IEEE
16 years 8 months ago
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
Max Mignotte, Jean Meunier
DAC
2004
ACM
16 years 7 months ago
High level cache simulation for heterogeneous multiprocessors
As multiprocessor systems-on-chip become a reality, performance modeling becomes a challenge. To quickly evaluate many architectures, some type of high-level simulation is require...
Joshua J. Pieper, Alain Mellan, JoAnn M. Paul, Don...
COGSR
2011
105views more  COGSR 2011»
15 years 1 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
ICIP
2002
IEEE
16 years 7 months ago
Fitting smooth surfaces to scattered 3D data using piecewise quadratic approximation
The approximation of surfaces to scattered data is an important problem encountered in a variety of scientific applications, such as reverse engineering, computer vision, computer...
Hélio Pedrini, Murilo Vicente Gonçal...