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A multi-modal visual emotion recognition method to instantiate an ontology
(SciTePressPE, 2021)
"Human emotion recognition from visual expressions is an important research area in computer vision and machine learning owing to its significant scientific and commercial potential. Since visual expressions can be captured ...
Object Recognition in Noisy RGB-D Data
(01/01/2015)
The object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with noisy clouds through the use of the Growing Neural ...
Lane marking recognition based on laser scanning
(06/03/2015)
Towards safe autonomous vehicle navigation the problem of lane detection and classification is highly important in the development of advanced driver assistance system (ADAS). This paper proposes a new method to detect the ...
Data collection of 3D spatial features of gestures from static peruvian sign language alphabet for sign language recognition
(Institute of Electrical and Electronics Engineers Inc., 2020-10-21)
Peruvian Sign Language Recognition (PSL) is approached as a classification problem. Previous work has employed 2D features from the position of hands to tackle this problem. In this paper, we propose a method to construct ...
A multi-class structured dictionary learning method using discriminant atom selection
(Springer, 2020-11)
In the last decade, traditional dictionary learning methods have been successfully applied to various pattern classification tasks. Although these methods produce sparse representations of signals which are robust against ...
Object recognition in noisy RGB-D data using GNG
(Pattern Analysis and ApplicationsPattern Analysis and Applications, 04/26/2016)
Object recognition in 3D scenes is a research field in which there is intense activity guided by the problems related to the use of 3D point clouds. Some of these problems are influenced by the presence of noise in the ...
A New Artificial Immune System Based on Continuous Learning for Pattern Recognition
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2020)
Normative Reconstruction and the Hermeneutics of Recognition
(Universidade Estadual de Campinas, 2017)
Facial Recognition Using Neural Networks over GPGPU
(Centro Latinoamericano de Estudios en Informática, 2012)
Rotation-invariant texture recognition
(Scopus, 2007)
This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decomposition, and (2) by a novel multi-class recognition method ...