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IJCV
2000
164views more  IJCV 2000»
14 years 9 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
MVA
2007
165views Computer Vision» more  MVA 2007»
14 years 11 months ago
Self-Calibration for Metric 3D Reconstruction Using Homography
In this paper, our goal is to reconstruct metric 3D models for large structures (or other 3D objects) from uncalibrated images. The internal camera parameters are estimated by usi...
Cheng-Yuan Tang, Yi-Leh Wu, Pei-Ching Hu, Hsien-Ch...
ICIP
2008
IEEE
15 years 11 months ago
Photon-limited image denoising by inference on multiscale models
We present an improved statistical model of Poisson processes, with applications in photon-limited imaging. We build on previous work, adopting a multiscale representation of the ...
Stamatios Lefkimmiatis, George Papandreou, Petros ...
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DSP
2008
14 years 9 months ago
Extension of higher-order HMC modeling with application to image segmentation
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
Lamia Benyoussef, Cyril Carincotte, Stéphan...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
15 years 6 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar