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» Joint Tracking and Segmentation of Objects Using Graph Cuts
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MVA
2007
189views Computer Vision» more  MVA 2007»
13 years 10 months ago
Image Segmentation Using Region Merging Combined with a Multi-class Spectral Method
In this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions i...
Fernando C. Monteiro, Aurélio C. Campilho
CVPR
2005
IEEE
14 years 11 months ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
TASLP
2008
123views more  TASLP 2008»
13 years 9 months ago
Normalized Cuts for Predominant Melodic Source Separation
The predominant melodic source, frequently the singing voice, is an important component of musical signals. In this paper, we describe a method for extracting the predominant sourc...
Mathieu Lagrange, Luis Gustavo Martins, Jennifer M...
CVPR
2007
IEEE
14 years 11 months ago
Modelling Objects using Distribution and Topology of Multiscale Region Pairs
We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
Himanshu Arora, Narendra Ahuja
ECCV
2010
Springer
14 years 2 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...