191 Result(s)
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Article
Ben Ep**er
Image Processing and Computer Vision
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Article
Optimal template matching by nonorthogonal image expansion using restoration
In this paper we present a novel approach for template matching. The basic principle is expansion matching and it entails signal expansion into a set of nonorthogonal templatesimilar basis functions. The coeff...
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Fast multiplier bit-product matrix reduction using bit-ordering and parity generation
The “Wallace Tree/Dadda Fast Multiplier” consists of the following three steps: 1) form a bit-product matrix; 2) reduce the bit-product matrix to two rows; and 3) sum the two rows. This article describes a nov...
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Image recognition with an analog neural net chip
We developed a machine vision system around an analog neural net chip and used it in several applications. Some of them were: locating the address blocks on mail pieces, finding the identification numbers on r...
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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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VC-Dimension Analysis of Object Recognition Tasks
We analyze the amount of data 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-algebraic subs...
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Removing Noise and Preserving Details with Relaxed Median Filters
In this paper, a median based filter called relaxed median filter is proposed. The filter is obtained by relaxing the order statistic for pixel substitution. Noise attenuation properties as well as edge and li...
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Automatic extraction of printed mathematical formulas using fuzzy logic and propagation of context
This paper describes a new method to segment printed mathematical documents precisely and extract formulas automatically from their images. Unlike classical methods, it is more directed towards segmentation r...
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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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Classification of Arabic script using multiple sources of information: State of the art and perspectives
In this paper, we present a review of the state of the art in the current classification techniques used in the optical character recognition of the Arabic script (AOCR). We consider multiple sources of inform...
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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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Globally Optimal Geodesic Active Contours
An approach to optimal object segmentation in the geodesic active contour framework is presented with application to automated image segmentation. The new segmentation scheme seeks the geodesic active contour ...
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A multi-user desktop virtual environment for teaching shop-kee** to children
Virtual role-playing environments can be a powerful mechanism of instruction, provided they are constructed such that learning how to play and win the game contributes to a player’s understanding of real-world...
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Algorithmic-level Specification and Characterization of Embedded Multimedia Applications with Design Trotter
Designing embedded systems is a challenging task during which wrong choices can lead to extremely costly re-design loops, especially when these wrong choices are made during the algorithm specification and the...
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Characterizing human shape variation using 3D anthropometric data
Characterizing the variations of the human body shape is fundamentally important in many applications ranging from animation to product design. 3D scanning technology makes it possible to digitize the complete...
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A Geometric Approach for Regularization of the Data Term in Stereo-Vision
Every stereovision application must cope with the correspondence problem. The space of the matching variables, often consisting of spatial coordinates, intensity and disparity, is commonly referred as the data...
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Advances in evolutionary feature selection neural networks with co-evolution learning
Training neural networks is a complex task provided that many algorithms are combined to find best solutions to the classification problem. In this work, we point out the evolutionary computing to minimize a n...
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Multimodal identification and localization of users in a smart environment
Detecting the location and identity of users is a first step in creating context-aware applications for technologically-endowed environments. We propose a system that makes use of motion detection, person trac...
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Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery
In this paper, we applied Bayesian multi-layer perceptrons (MLP) using the evidence procedure to predict malignancy of ovarian masses in a large (n = 1,066) multi-centre data set. Automatic relevance determinatio...
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Edge-based Segmentation Using Robust Evolutionary Algorithm Applied to Medical Images
Although medical image segmentation is a hard task in image processing, it is possible to reduce its complexity by considering it as an optimization problem. This paper presents a robust evolutionary algorithm...
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A fuzzy neighborhood-based training algorithm for feedforward neural networks
In this work we present a new hybrid algorithm for feedforward neural networks, which combines unsupervised and supervised learning. In this approach, we use a Kohonen algorithm with a fuzzy neighborhood for t...
