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» Modelling perception using image processing algorithms
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MICCAI
2008
Springer
16 years 6 months ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland
3DOR
2008
15 years 7 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
ISVC
2009
Springer
15 years 9 months ago
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segment...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno...
ICIP
1995
IEEE
16 years 6 months ago
Variable resolution Markov modelling of signal data for image compression
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...
Mark Trumbo, Jacques Vaisey
DAGM
2008
Springer
15 years 6 months ago
Comparing Local Feature Descriptors in pLSA-Based Image Models
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
Eva Hörster, Thomas Greif, Rainer Lienhart, M...