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EMMCVPR
2001
Springer
14 years 1 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
EMMCVPR
2001
Springer
14 years 1 months ago
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems
The interest of graph matching techniques in the pattern recognition field is increasing due to the versatility of representing knowledge in the form of graphs. However, the size ...
Endika Bengoetxea, Pedro Larrañaga, Isabell...
EMMCVPR
2001
Springer
14 years 1 months ago
Grouping with Directed Relationships
Abstract. Grouping is a global partitioning process that integrates local cues distributed over the entire image. We identify four types of pairwise relationships, attraction and r...
Stella X. Yu, Jianbo Shi
EMMCVPR
2001
Springer
14 years 1 months ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura
EMMCVPR
2001
Springer
14 years 1 months ago
3D Flux Maximizing Flows
A number of geometric active contour and surface models have been proposed for shape segmentation in the literature. The essential idea is to evolve a curve (in 2D) or a surface (i...
Kaleem Siddiqi, Alexander Vasilevskiy
CVPR
2010
IEEE
14 years 1 months ago
An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...
CVPR
2010
IEEE
14 years 1 months ago
"Lattice Cut" - Constructing superpixels using layer constraints
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for featur...
Alastair Moore, Simon Prince
CVPR
2010
IEEE
14 years 1 months ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
CVPR
2010
IEEE
14 years 1 months ago
Object Separation In X-Ray Image Sets
In the segmentation of natural images, most algorithms rely on the concept of occlusion. In x-ray images, however, this assumption is violated, since x-ray photons penetrate most ...
Geremy Heitz, Gal Chechik