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» Toward Objective Evaluation of Image Segmentation Algorithms
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ICIP
2010
IEEE
15 years 1 months ago
Reducing graphs in graph cut segmentation
In few years, graph cuts have become a leading method for solving a wide range of problems in computer vision. However, graph cuts involve the construction of huge graphs which so...
Nicolas Lerme, François Malgouyres, Lucas L...
IJOCI
2010
163views more  IJOCI 2010»
15 years 1 months ago
An Experimental Performance Comparison for Indexing Mobile Objects on the Plane
We present a time-efficient approach to index objects moving on the plane to efficiently answer range queries about their future positions. Each object is moving with non small ve...
Spyros Sioutas, George Papaloukopoulos, Kostas Tsi...
127
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AVSS
2005
IEEE
15 years 9 months ago
Object tracking and matting for a class of dynamic image-based representations
Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based app...
Zhi-Feng Gan, Shing-Chow Chan, Heung-Yeung Shum
CVPR
2010
IEEE
15 years 4 months ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak
ICIP
2005
IEEE
16 years 5 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang