554 Result(s)
within
English
Computer Science
Artificial Intelligence
Image Processing and Computer Vision
Ben Ep**er
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Chapter and Conference Paper
Applying VC-dimension analysis to object recognition
We analyze the amount of information needed to carry out various model-based recognition tasks, in the context of a probabilistic data collection model. We focus on objects that may be described as semi-algebr...
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Article
FEG structures for representation and recognition of 3-D polyhedral objects
The paper proposes a fast O(n 2.5) recognition algorithm for partially occluded 3D polyhedral objects, where n is the number of the polyhedron vertices.
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Chapter and Conference Paper
Optimising an Evolutionary Algorithm for Scheduling
This paper examines two techniques for setting the parameters of an evolutionary Algorithm (EA). The example EA used for test purposes undertakes a simple scheduling problem. An initial version of the EA was t...
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Chapter and Conference Paper
Model Based Pose Estimator Using Linear-Programming
Given a 3D object and some measurements for points in this object, it is desired to find the 3D location of the object. A new model based pose estimator from stereo pairs based on linear programming (lp) is prese...
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Chapter and Conference Paper
Street-Based Routing Using an Evolutionary Algorithm
Much research has been carried out into solving routing problems using both Evolutionary Techniques and other methods. In this paper the authors investigate the usage of an Evolutionary Algorithms to solve the...
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Chapter and Conference Paper
Design principles for tactile interaction
Although the integration of tactile feedback within the humancomputer interface could have considerable benefits this channel of communication is often overlooked or, at most, employed on an ad hoc basis. One ...
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Chapter and Conference Paper
A Soft k-Segments Algorithm for Principal Curves
We propose a new method to find principal curves for data sets. The method repeats three steps until a stop** criterion is met. In the first step, k (unconnected) line segments are fitted on the data. The secon...
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Chapter
Panoramic Imaging with Horizontal Stereo
The ultimate immersive visual environment should provide three elements: (i) Stereo vision, where each eye gets a different image appropriate to its location in space; (ii) complete 360° view, allowing the vie...
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Chapter and Conference Paper
A Variational Approach to Maximum a Posteriori Estimation for Image Denoising
Using first principles, we establish in this paper a connection between the maximum a posteriori (MAP) estimator and the variational formulation of optimizing a given functional subject to some noise constraints....
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Chapter and Conference Paper
Out-of-Vocabulary Word Modeling and Rejection for Spanish Keyword Spotting Systems
This paper presents a combination of out-of-vocabulary (OOV)word modeling and rejection techniques in an attempt to accept utterances embedding a keyword and reject utterances with nonkeywords. The goal of thi...
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Chapter and Conference Paper
Improving Street Based Routing Using Building Block Mutations
Street based routing (SBR) is a real-world inspired routing problem that builds routes within an urban area for mail deliveries. The authors have previously attempted to solve this problem using an Evolutionar...
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Chapter and Conference Paper
On Computing Visual Flows with Boundaries: The Case of Shading and Edges
Many visual tasks depend upon the interpretation of visual structures that are flow fields, such as optical flow, oriented texture, and shading. The computation of these visual flows involves a delicate tradeo...
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Chapter and Conference Paper
Coordinating Principal Component Analyzers
Mixtures of Principal Component Analyzers can be used to model high dimensional data that lie on or near a low dimensional manifold. By linearly map** the PCA subspaces to one global low dimensional space, w...
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Chapter and Conference Paper
Guided Sampling and Consensus for Motion Estimation
We present techniques for improving the speed of robust motion estimation based on random sampling of image features. Starting from Torr and Zisserman’s MLESAC algorithm, we address some of the problems posed ...
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Article
Algorithmic Fusion for More Robust Feature Tracking
We present a framework for merging the results of independent feature-based motion trackers using a classification based approach. We demonstrate the efficacy of the framework using corner trackers as an examp...
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Chapter and Conference Paper
Efficient and Consistent Recursive Filtering of Images with Reflective Extension
Recursive filters are commonly used in scale space construction for their efficiency and simple implementation. However these filters have an initialisation problem which either produces unusable results near ...
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Chapter and Conference Paper
Image Registration and Segmentation by Maximizing the Jensen-Rényi Divergence
Information theoretic measures provide quantitative entropic divergences between two probability distributions or data sets. In this paper, we analyze the theoretical properties of the Jensen-Rényi divergence ...
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Article
Neural Q-learning
In this paper we introduce a novel neural reinforcement learning method. Unlike existing methods, our approach does not need a model of the system and can be trained directly using the measurements of the syst...
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Chapter and Conference Paper
Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron
We describe the response properties of a compact, low power, analog circuit that implements a model of a leaky–Integrate & Fire (I&F) neuron, with spike-frequency adaptation, refractory period and voltage thre...
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Chapter and Conference Paper
Construction of Fuzzy Models for Dynamic Systems Using Multi-population Cooperative Particle Swarm Optimizer
A new fuzzy modeling method using Multi-population Cooperative Particle Swarm Optimizer (MCPSO) for identification and control of nonlinear dynamic systems is presented in this paper. In MCPSO, the population ...
