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» Application of Level Set Methods in Computer Vision
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CVPR
2008
IEEE
13 years 7 months ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin
SCALESPACE
1999
Springer
13 years 12 months ago
An Active Contour Model without Edges
In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and l...
Tony F. Chan, Luminita A. Vese
CVPR
1999
IEEE
14 years 1 hour ago
Sensor Planning for a Trinocular Active Vision System
We present an algorithm to solve the sensor planning problem for a trinocular, active vision system. This algorithm uses an iterative optimization method to rst solve for the tran...
Peter Lehel, Elsayed E. Hemayed, Aly A. Farag
ISSS
1999
IEEE
87views Hardware» more  ISSS 1999»
13 years 12 months ago
Exploration and Synthesis of Dynamic Data Sets in Telecom Network Applications
We present a new exploration and optimization method to select customized implementations for dynamic data sets, as encountered in telecom network, database and multimedia applica...
Chantal Ykman-Couvreur, J. Lambrecht, Diederik Ver...
MICCAI
2000
Springer
13 years 11 months ago
Robust 3D Segmentation of Anatomical Structures with Level Sets
This paper is focused on the use of the level set formalism to segment anatomical structures in 3D images (ultrasound ou magnetic resonance images). A closed 3D surface propagates...
C. Baillard, Christian Barillot