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» Application of Level Set Methods in Computer Vision
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IJCV
1998
102views more  IJCV 1998»
13 years 7 months ago
Improved Diffuse Reflection Models for Computer Vision
There are many computational vision techniques that fundamentally rely upon assumptions about the nature of diffuse reflection from object surfaces consisting of commonly occurrin...
Lawrence B. Wolff, Shree K. Nayar, Michael Oren
ICCV
1999
IEEE
13 years 12 months ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche
CVPR
2007
IEEE
14 years 9 months ago
OpenVL: Towards A Novel Software Architecture for Computer Vision
This paper presents our progress on OpenVL - a novel software architecture to address efficiency through facilitating hardware acceleration, reusability and scalability for comput...
Changsong Shen, S. Sidney Fels, James J. Little
PRL
2006
77views more  PRL 2006»
13 years 7 months ago
Wavelet based approach to cluster analysis. Application on low dimensional data sets
In this paper, we present a wavelet based approach which tries to automatically find the number of clusters present in a data set, along with their position and statistical proper...
Xavier Otazu, Oriol Pujol
ICDAR
2009
IEEE
13 years 5 months ago
A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering fro
A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to prov...
Reza Farrahi Moghaddam, David Rivest-Hénaul...