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High-Dimensional Mutual Information Estimation For Image Registration
(IEEE, 2004-10)
We present a new algorithm for mutual information estimation for image registration based on the nearest neighbor entropy estimator of Kozachenko and Leonenko. We modify the algorithm to be numerically robust and computationally ...
Radial Radon Transform dedicated to Micro-object Localization from Radio Frequency Ultrasound Signal
(IEEE, 2004-08)
In this paper we describe a method for automatic electrode localization in soft tissue from a radiofrequency signal. The method exploits a property of the Radon transform (RT) that allows us to localize a line-segment in ...
Zero-Temperature Limit of a Convergent Algorithm to Minimize the Bethe Free Energy
(Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, 2011-12)
After the discovery that xed points of loopy belief propagation coincide with stationary points of the Bethe free energy, several researchers proposed provably convergent algorithms to directly minimize the Bethe free ...
Fast Detection of Multiple Textureless 3-D Objects
(Springer, 2013)
We propose a fast edge-based approach for detection and approximate pose estimation of multiple textureless objects in a single image. The objects are trained from a set of edge maps, each showing one object in one pose. ...
Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images
(IEEE, 2010-08)
Ultrasound guidance is used for many surgical interventions such as biopsy and electrode insertion. We present a method to localize a thin surgical tool such as a biopsy needle or a microelectrode in a 3-D ultrasound image. ...
Improving Descriptors for Fast Tree Matching by Optimal Linear Projection
(IEEE, 2007-10)
In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that inter-image deviations of corresponding ...
Linear Predictors for Fast Simultaneous Modeling and Tracking
(IEEE, 2007-10)
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacement predictors learnt online. A multi-modal ...
Efficient Sequential Correspondence Selection by Cosegmentation
(IEEE, 2010-09)
In many retrieval, object recognition, and wide-baseline stereo methods, correspondences of interest points (distinguished regions) are commonly established by matching compact descriptors such as SIFTs. We show that a ...
P-N Learning: Bootstrapping Binary Classifiers by Structural Constraints
(IEEE, 2010-06)
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the label of one example restricts the labeling ...
Online learning of robust object detectors during unstable tracking
(IEEE, 2009-09)
This work investigates the problem of robust, longterm visual tracking of unknown objects in unconstrained environments. It therefore must cope with frame-cuts, fast camera movements and partial/total object occlusions/d ...