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IJCV
2000
164views more  IJCV 2000»
13 years 8 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
MICCAI
2009
Springer
14 years 9 months ago
Dynamic Cone Beam Reconstruction Using a New Level Set Formulation
Abstract. This paper addresses an approach toward tomographic reconstruction from rotational angiography data as it is generated by Carms in cardiac imaging. Since the rotational a...
Andreas Keil, Jakob Vogel, Günter Lauritsch, ...
ICDAR
2009
IEEE
13 years 6 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
CSDA
2006
85views more  CSDA 2006»
13 years 8 months ago
Fast and compact smoothing on large multidimensional grids
A framework of penalized generalized linear models and tensor products of B-splines with roughness penalties allows effective smoothing of data in multidimensional arrays. A strai...
Paul H. C. Eilers, Iain D. Currie, María Du...
ICPR
2004
IEEE
14 years 9 months ago
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction
We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity....
Ben Appleton, Brian C. Lovell, Carlos Leung, Chang...