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Learning how to extract rotation-invariant and scale-invariant features from texture images
(Scopus, 2008)
Learning how to extract texture features from noncontrolled environments characterized by distorted images is a still-open task. By using a new rotation-invariant and scale-invariant image descriptor based on steerable ...
Robust lane marking detection based on multi-feature fusion
(07/06/2016)
In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which ...
Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction
(Centro Latinoamericano de Estudios en Informática, 2016)
Acoustic Event Classification using spectral band selection and Non-Negative Matrix Factorization-based features
(Elsevier Ltd, 2016)
Feature extraction methods for sound events have been traditionally based on parametric representations specifically developed for speech signals, such as the well-known Mel Frequency Cepstrum Coefficients (MFCC). However, ...
Methodology for evaluation of roods computationally extracted from digital imagesMetodologia para Avaliação de Rodovias Extraídas Computacionalmente em Imagens Digitais
(Instituto de Geociências /Universidade Federal do Rio Grande do Sul, 2004)
Stairway segmentation using Gabor Filter and vanishing point
(08/07/2011)
This paper we are proposing to detect the localization and recognition of an indoor stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive ...
Crosswalk detection based on laser scanning from moving vehicle
(07/22/2015)
The safety plays the most important role for both pedestrian and driver in autonomous, semi-autonomous or non-autonomous vehicle. To improve pedestrian safety, this paper presents a new type of laser feature extraction ...
Camera and laser range finder fusion for real-time car detection
(10/29/2014)
This paper describes a car detection method by combining data obtained from a laser and a camera. Data from the camera and the laser range finder (LRF) are combined after a calibration method has been performed. The ...
Comparison and evaluation of different methods for the feature extraction from educational contents
(MDPI Multidisciplinary Digital Publishing Institute, 2020-01-01)
This paper analyses the capabilities of different techniques to build a semantic representation of educational digital resources. Educational digital resources are modeled using the Learning Object Metadata (LOM) standard, ...
Feature extraction based on the high-pass filtering of audio signals for Acoustic Event Classification
(Academic Press, 2015)
In this paper, we propose a new front-end for Acoustic Event Classification tasks (AEC). First, we study the spectral characteristics of different acoustic events in comparison with the structure of speech spectra. Second, ...