87 Result(s)
within
English
Artificial Intelligence
Image Processing and Computer Vision
Ben Ep**er
Article
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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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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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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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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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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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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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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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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...
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A Statistical Overlap Prior for Variational Image Segmentation
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the nonparametric distributions of ima...
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General Geometric Good Continuation: From Taylor to Laplace via Level Sets
Good continuation is the Gestalt observation that parts often group in particular ways to form coherent wholes. Perceptual integration of edges, for example, involves orientation good continuation, a property whi...
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Multi-Spectral Imaging by Optimized Wide Band Illumination
We present a novel active imaging approach that uses optimized wide band filtered illumination to obtain multi-spectral reflectance information. Our optimization algorithm utilizes light source and camera spec...
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Open AccessRelating conversational expressiveness to social presence and acceptance of an assistive social robot
Exploring the relationship between social presence, conversational expressiveness, and robot acceptance, we set up an experiment with a robot in an eldercare institution, comparing a more and less social condi...
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Implementation of an LVQ neural network with a variable size: algorithmic specification, architectural exploration and optimized implementation on FPGA devices
This paper presents an optimizing methodology for the implementation of a Learning Vector Quantization (LVQ) neural network in a Field Programmable Gate Array (FPGA) device. Starting from an algorithmic specif...
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One step at a time: animating virtual characters based on foot placement
Especially in a constrained virtual environment, precise control of foot placement during character locomotion is crucial to avoid collisions and to ensure a natural locomotion. In this paper, we present an ex...
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3D facial expression recognition using SIFT descriptors of automatically detected keypoints
Methods to recognize humans’ facial expressions have been proposed mainly focusing on 2D still images and videos. In this paper, the problem of person-independent facial expression recognition is addressed usi...
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Reeb graph path dissimilarity for 3D object matching and retrieval
We introduce a skeletal graph for topological 3D shape representation using Morse theory. The proposed skeletonization algorithm encodes a 3D shape into a topological Reeb graph using a normalized mixture dist...
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Training recurrent neural networks using a hybrid algorithm
This paper proposes a new hybrid approach for recurrent neural networks (RNN). The basic idea of this approach is to train an input layer by unsupervised learning and an output layer by supervised learning. In...
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Shape-Based Object Detection via Boundary Structure Segmentation
We address the problem of object detection and segmentation using global holistic properties of object shape. Global shape representations are highly susceptible to clutter inevitably present in realistic imag...
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Embedded Voxel Colouring with Adaptive Threshold Selection Using Globally Minimal Surfaces
Image-based 3D reconstruction remains a competitive field of research as state-of-the-art algorithms continue to improve. This paper presents a voxel-based algorithm that adapts the earliest space-carving meth...
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A 3D Imaging Framework Based on High-Resolution Photometric-Stereo and Low-Resolution Depth
This paper introduces a 3D imaging framework that combines high-resolution photometric stereo and low-resolution depth. Our approach targets imaging scenarios based on either macro-lens photography combined wi...
