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A multi-modal emotion recogniser based on the integration of multiple fusion methods
(Universidad Católica San PabloPE, 2021)
People naturally express emotions in simultaneous different ways. Thus, multimodal methods are becoming popular for emotion recognition and analysis of
reactions to many aspects of daily life. This research work presents ...
A multi-modal emotion recogniser based on the integration of multiple fusion methods
(Universidad Católica San PabloPE, 2021)
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 ...
Recognition of Emotions using Energy Based Bimodal Information Fusion and Correlation
Multi-sensor information fusion is a rapidly developing research area which forms the backbone of numerous essential technologies such as intelligent robotic control, sensor networks, video and image processing and many ...
Multi-modal RGB-D Image Segmentation from Appearance and Geometric Depth Maps
(Instituto Tecnológico Metropolitano - ITM, 2020-05-15)
Los algoritmos clásicos de segmentación de imágenes explotan la detección de similitudes y discontinuidades en diferentes señales visuales, para definir regiones de interés en imágenes. Sin embargo, debido a la alta ...
Attention-based Multi-modal Sentiment Analysis and Emotion Detection in Conversation using RNN
The availability of an enormous quantity of multimodal data and its widespread applications, automatic sentiment analysis and emotion classification in the conversation has become an interesting research topic among the ...
Development of a probabilistic perception system for camera-lidar sensor fusion
(Universidad Autonoma de OccidenteMaestría en Ingeniería de Desarrollo de ProductosFacultad de IngenieríaSantiago de Cali, 2021-06-02)
Multi-modal depth estimation is one of the key challenges for endowing autonomous
machines with robust robotic perception capabilities. There has been an outstan-
ding advance in the development of uni-modal depth ...
Development of a probabilistic perception system for camera-lidar sensor fusion
(Universidad Autonoma de OccidenteMaestría en Ingeniería de Desarrollo de ProductosFacultad de Ingeniería, 2021-06-02)
Multi-modal depth estimation is one of the key challenges for endowing autonomous
machines with robust robotic perception capabilities. There has been an outstan-
ding advance in the development of uni-modal depth ...
Deep Convolutional Neural Network (DCNN) para extração automática de rede viária a partir da FUSÃO de dados varredura LASER aerotransportado e imagens de altíssima resolução em ambiente urbano
(Universidade Estadual Paulista (Unesp), 2022-08-26)
A extração de rodovias é um importante tópico de pesquisa, dada a importância para a gestão de tráfego, desenho urbano, monitoramento de estradas, navegação por satélites e atualização de mapas. O principal problema na ...
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...