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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 ...
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)
Spoken emotion recognition using hierarchical classifiers
(Elsevier, 2011-07)
The recognition of the emotional state of speakers is a multi-disciplinary research area that has received great interest over the last years. One of the most important goals is to improve the voice-based human-machine ...
A multimodal emotion recognition method based on facial expressions and electroencephalography
(Elsevier, 2021-09)
Human-robot interaction (HRI) systems play a critical role in society. However, most HRI systems nowadays still face the challenge of disharmony, resulting in an inefficient communication between the human and the robot. ...