18 Result(s)
within
D. F. **
Computer Science
Image Processing and Computer Vision
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Article
Open AccessHierarchical registration method for surface quality inspection of long products
Manufacturing industry often uses 3D scanning technologies to inspect their products. Some of these techniques produce a point cloud that represent a section of the manufactured product. The clouds must be ali...
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Article
Open AccessRegularising Inverse Problems with Generative Machine Learning Models
Deep neural network approaches to inverse imaging problems have produced impressive results in the last few years. In this survey paper, we consider the use of generative models in a variational regularisation...
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Article
Open AccessA simulator for both manual and powered wheelchairs in immersive virtual reality CAVE
A large number of people in the world need to use a wheelchair because of different disabilities. Driving a wheelchair requires complex physical and cognitive abilities which need to be trained. Virtual traini...
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Chapter and Conference Paper
Early Breast Cancer Detection by Using a Sensor-Antenna
In the last decades, the early detection of cancer has motivated many researches works because these increases the possibilities of survival of patients and positive responses to different treatments. Particul...
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Chapter and Conference Paper
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
The shape of an object is an important characteristic for many vision problems such as segmentation, detection and tracking. Being independent of appearance, it is possible to generalize to a large range of ob...
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Chapter and Conference Paper
Data Visualization Using Interactive Dimensionality Reduction and Improved Color-Based Interaction Model
This work presents an improved interactive data visualization interface based on a mixture of the outcomes of dimensionality reduction (DR) methods. Broadly, it works as follows: The user can input the mixture...
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Chapter and Conference Paper
Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations
This work presents a new interactive data visualization approach based on mixture of the outcomes of dimensionality reduction (DR) methods. Such a mixture is a weighted sum, whose weighting factors are defined...
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Chapter and Conference Paper
Kernel-Based Feature Relevance Analysis for ECG Beat Classification
The analysis of Electrocardiogram (ECG) records for arrhythmia classification favors the develo** of aid diagnosis systems. However, current devices provide large amounts of data being necessary the developm...
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Chapter and Conference Paper
Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation
In this paper, we analyse and solve a source separation problem based on a mixing model that is nonlinear and non-invertible at the space of mixtures. The model is relevant considering it may represent the dat...
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Chapter and Conference Paper
Training Object Class Detectors from Eye Tracking Data
Training an object class detector typically requires a large set of images annotated with bounding-boxes, which is expensive and time consuming to create. We propose novel approach to annotate object locations...
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Chapter and Conference Paper
Monocular Vision-Based Target Detection on Dynamic Transport Infrastructures
This paper describes a target detection system on transport infrastructures, based on monocular vision. The goal is to detect and track vehicles and pedestrians, dealing with objects variability, different ill...
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Chapter and Conference Paper
Surface Classification for Road Distress Detection System Enhancement
This paper presents a vision-based road surface classification in the context of infrastructure inspection and maintenance, proposed as stage for improving the performance of a distress detection system. High ...
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Chapter and Conference Paper
Patch Based Synthesis for Single Depth Image Super-Resolution
We present an algorithm to synthetically increase the resolution of a solitary depth image using only a generic database of local patches. Modern range sensors measure depths with non-Gaussian noise and at low...
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Article
Automatic LightBeam Controller for driver assistance
In this article, we present an effective system for detecting vehicles in front of a camera-assisted vehicle (preceding vehicles traveling in the same direction and oncoming vehicles traveling in the opposite ...
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Chapter and Conference Paper
Real-Time Vision-Based Vehicle Detection for Rear-End Collision Mitigation Systems
This paper describes a real-time vision-based system that detects vehicles approaching from the rear in order to anticipate possible rear-end collisions. A camera mounted on the rear of the vehicle provides im...
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Chapter and Conference Paper
Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
We propose an algorithm to improve the quality of depth-maps used for Multi-View Stereo (MVS). Many existing MVS techniques make use of a two stage approach which estimates depth-maps from neighbouring images ...
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Article
Local Multichannel Deconvolution
We introduce a method to locally restore multiple blurred images that yields an extended boundary of the restored image. In particular, we provide a method for finding solutions that are compactly (finitely) s...
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Chapter and Conference Paper
Improving Simple Classifier Systems to alleviate the problems of Duplication, Subsumption and Equivalence of Rules
For new, potentially improved rules that is, the search performed by a classifier system’s genetic algorithm is guided by the relative strength of the rules in the extant rule base. This paper identifies three...
