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    RGB-D and Thermal Sensor Fusion: A Systematic Literature Review
    (IEEE, 2023-08-09) Brenner M; Reyes NH; Susnjak T; Barczak ALC
    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 and 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.
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    Tusitala : teller of tales : exploring graphic representations of diasporic poetry for engaging Pasifika youth : an exegesis presented in partial fulfilment of the requirements for the degree of Master of Design, Massey University College of Creative Arts, Wellington, New Zealand
    (Massey University, 2016) Flanagan, Vaughan Tangiau
    While many high achievers come from the Pasifika community, current research into New Zealand secondary schools has identified a literacy gap between students from Pasifika backgrounds and those from other ethnic groups (Telford & Tuomu’a, 2013). The findings highlight the need to investigate engaging and culturally-responsive methods for strengthening the literacy outcomes of Pasifika students. Tusitala – teller of tales aims to explore graphic narrative as a sequential storytelling method for the engagement, education and empowerment of Pasifika youth. Graphic narrative is used as an umbrella term by comic theorists to describe narrative work in the medium of graphic novels, and comics. The project is contextualised within an existing body of research into the effectiveness of graphic narratives as multimodal texts, for engaging reluctant and struggling readers. Positioned primarily as a practice-based design investigation into the potential of graphic narrative for educational outcomes, the project is further underpinned by pedagogical and sequential art theories. As a subset of this project, poetry from Pasifika authors is highlighted for its particular role in reflecting the identity and experiences of Pasifika youth today. The resulting design investigation applies both a formal analysis of graphic narrative works and textual analysis of four poems from contemporary Pasifika poets. These poems are then synthesised into a set of large posters that draw artistic influence from both Western and Indigenous precedents. The resulting set contributes to a growing body of work that reflects Pacific diasporic identity in New Zealand.