Search for dissertations about: "illumination"
Showing result 1 - 5 of 252 swedish dissertations containing the word illumination.
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1. Image Analysis using the Physics of Light Scattering
Abstract : Any generic computer vision algorithm must be able to copewith the variations in appearance of objects due to differentillumination conditions. While these variations in the shadingof a surface may seem a nuisance, they in fact containinformation about the world. READ MORE
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2. Efficient Methods for Volumetric Illumination
Abstract : Modern imaging modalities can generate three-dimensional datasets with a very high detail level. To transfer all the information to the user in an efficient way there is a need for three-dimensional visualization. READ MORE
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3. Structured Laser Illumination Planar Imaging SLIPI Applications for Spray Diagnostics
Abstract : Laser sheet imaging, also known as planar laser imaging, is one of the most versatile optical imaging techniques known and is frequently applied in several different domains. It furthermore constitutes the basis for a variety of other 2D methods, in turn allowing visualization of e.g. velocity, particle size, species concentration and temperature. READ MORE
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4. Colour in Enclosed Space Observation of Colour Phenomena and Development of Methods for Identification of Colour Appearance in Rooms
Abstract : The main problems dealt with in this thesis are (1) how colours can appear in rooms due to various colour combinations and lighting conditions, and (2) how we can identify and compare colour appearance in rooms. One aim is to demonstrate and discuss the complex problem of how certain conditions in a room affect colour appearance, and to give examples and describe the co-operation between some of the affecting factors in experimental rooms. READ MORE
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5. Realistic Real-Time Rendering of Global Illumination and Hair through Machine Learning Precomputations
Abstract : Over the last decade, machine learning has gained a lot of traction in many areas, and with the advent of new GPU models that include acceleration hardware for neural network inference, real-time applications have also started to take advantage of these algorithms. In general, machine learning and neural network methods are not designed to run at the speeds that are required for rendering in high-performance real-time environments, except for very specific and typically limited uses. READ MORE