Essays about: "Low-Resolution Images"
Showing result 16 - 20 of 41 essays containing the words Low-Resolution Images.
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16. Improving Knee Cartilage Segmentation using Deep Learning-based Super-Resolution Methods
University essay from KTH/Medicinteknik och hälsosystemAbstract : Segmentation of the knee cartilage is an important step for surgery planning and manufacturing patient-specific prostheses. What has been a promising technology in recent years is deep learning-based super-resolution methods that are composed of feed-forward models which have been successfully applied on natural and medical images. READ MORE
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17. IR Image Macine Learning for Smart Homes
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Sweden is expecting an aging population and a shortage of healthcare professionals in the near future. This amounts to problems like providing a safe and dignified life for the elderly both economically and practically. Technical solutions that contribute to safety, comfort and quick help when needed is essential for this future. READ MORE
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18. Real Time Voxel Cone Tracing using Bilateral Filters and 3D Clipmaps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Global illumination is a collective term of photorealistic lighting in computer graphics. Computation of global illumination is expensive in terms of real- time applications such as computer games. READ MORE
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19. Evaluating user preference when applying mipmap LOD in shadow covered textures
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Shadow mapping is a method that is used for generating and imitating shadows in 3D-spaces. This technique has been used in the entertainment media industry in the form of games, movies and 3D renderings of environments to create a more realistic experience for consumers. READ MORE
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20. Social Distancing AI: Using super-resolution to train an object detection model on low resolution images
University essay from Lunds universitet/Matematisk statistikAbstract : This paper addresses the following hypothetical situation: suppose that we want to train an object detection algorithm but that only low resolution data is available. As a tentative solution to this problem, this paper suggest to first super-resolve the low resolution data to obtain higher resolution data that is then fed to the object detection algorithm. READ MORE