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» Probability Models for High Dynamic Range Imaging
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ICPR
2004
IEEE
15 years 10 months ago
Detection of Artificial Structures in Natural-Scene Images Using Dynamic Trees
We seek a framework that addresses localization, detection and recognition of man-made objects in natural-scene images in a unified manner. We propose to model artificial structur...
Michael C. Nechyba, Sinisa Todorovic
CVPR
2005
IEEE
15 years 11 months ago
Face Recognition with Image Sets Using Manifold Density Divergence
In many automatic face recognition applications, a set of a person's face images is available rather than a single image. In this paper, we describe a novel method for face r...
Ognjen Arandjelovic, Gregory Shakhnarovich, John F...
ICCV
1998
IEEE
15 years 11 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender
TIP
2008
124views more  TIP 2008»
14 years 9 months ago
Robust Shape Tracking With Multiple Models in Ultrasound Images
This paper addresses object tracking in ultrasound images using a robust multiple model tracker. The proposed tracker has the following features: 1) it uses multiple dynamic models...
Jacinto C. Nascimento, Jorge S. Marques
IJCV
2008
188views more  IJCV 2008»
14 years 9 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin