2 resultados para Optical imagery

em Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul


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Romantic English literature – written at a time when prose fiction was predominantly a medium for sheer entertainment – is rooted in poetry. One or two novelists may exceptionally be granted the adjective “Romantic”, but Mary Shelley is not ranked among them. For centuries, her work has been restricted to that section in handbooks reserved for exotic Gothic literature. This thesis argues that literary criticism has failed to recognize Frankenstein’s obvious relation with the movement. The argument will be fostered by a brief look at such handbooks, and developed through the analysis of the imagery of the novel, so as to trace the Romantic elements there contained. The analysis relies mainly on the frame developed by Northrop Frye concerning the nature and function of imagery in literature. The concept of intertextuality will also be useful as a tool to account for the insertion of images in the novel, and for the novel’s insertion within the Romantic context. The work is divided into three parts. The first contextualizes the main issues set forth by Frankenstein, establishing connections with the life of the author and with the Romantic movement. The second exposes the theoretical basis on which the thesis is grounded. The last presents my reading of the novel’s web of images. In the end, I hope to validate the thesis proposed, that Frankenstein embodies the aesthetic and philosophical assessments of the English Romantic agenda, and therefore deserves to be situated in its due place in the English Literary canon as the legitimate representative of Romanticism in prose form.

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In the last years the number of industrial applications for Augmented Reality (AR) and Virtual Reality (VR) environments has significantly increased. Optical tracking systems are an important component of AR/VR environments. In this work, a low cost optical tracking system with adequate attributes for professional use is proposed. The system works in infrared spectral region to reduce optical noise. A highspeed camera, equipped with daylight blocking filter and infrared flash strobes, transfers uncompressed grayscale images to a regular PC, where image pre-processing software and the PTrack tracking algorithm recognize a set of retro-reflective markers and extract its 3D position and orientation. Included in this work is a comprehensive research on image pre-processing and tracking algorithms. A testbed was built to perform accuracy and precision tests. Results show that the system reaches accuracy and precision levels slightly worse than but still comparable to professional systems. Due to its modularity, the system can be expanded by using several one-camera tracking modules linked by a sensor fusion algorithm, in order to obtain a larger working range. A setup with two modules was built and tested, resulting in performance similar to the stand-alone configuration.