Machine Analysis of Facial Expressions

No abstract

Empathic processes and conscious perception: intersubjectivity at the basis of consciousness

L’intersoggettività definisce la natura dell’essere umano, il quale è prima di tutto un essere sociale, che nasce e si sviluppa nella relazione con l’altro. Partendo da questo presupposto, anche la coscienza e la consapevolezza di sé possono essere considerate di natura intersoggettiva, dal momento che si plasmano a partire dalla relazione con l’altro significativo. Nella presente tesi si è cercato di indagare tale relazione anche ad un livello più profondamente neurale e cognitivo, tramite tecniche psicofisiologiche e comportamentali.Intersubjectivity defines the nature of the human being, that first of all is a social being, that is born and develops in the relationship with the other person. Starting from this assumption, even consciousness and the Self can be considered as having an intersubjective nature, since they are formed from the relationship with the significant Other. In the present thesis, it has been tried to investigate this relationship between empathy and consciousness, even at a deeper neural and cognitive level, through psychophysiological and behavioural tecnhiques

RGB-D And Thermal Sensor Fusion: A Systematic Literature Review

In the last decade, the computer vision field has seen significant progress in multimodal data fusion and learning, where multiple sensors, including depth, infrared, and visual, are used to capture the environment across diverse spectral ranges. Despite these advancements, there has been no systematic and comprehensive evaluation of fusing RGB-D and thermal modalities to date. While autonomous driving using LiDAR, radar, RGB, and other sensors has garnered substantial research interest, along with the fusion of RGB and depth modalities, the integration of thermal cameras and, specifically, the fusion of RGB-D and thermal data, has received comparatively less attention. This might be partly due to the limited number of publicly available datasets for such applications. This paper provides a comprehensive review of both, state-of-the-art and traditional methods used in fusing RGB-D and thermal camera data for various applications, such as site inspection, human tracking, fault detection, and others. The reviewed literature has been categorised into technical areas, such as 3D reconstruction, segmentation, object detection, available datasets, and other related topics. Following a brief introduction and an overview of the methodology, the study delves into calibration and registration techniques, then examines thermal visualisation and 3D reconstruction, before discussing the application of classic feature-based techniques as well as modern deep learning approaches. The paper concludes with a discourse on current limitations and potential future research directions. It is hoped that this survey will serve as a valuable reference for researchers looking to familiarise themselves with the latest advancements and contribute to the RGB-DT research field.Comment: 33 pages, 20 figure