Essays about: "Application areas of computer"
Showing result 21 - 25 of 74 essays containing the words Application areas of computer.
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21. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE
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22. Deep Learning for Semantic Segmentation of 3D Point Clouds from an Airborne LiDAR
University essay from Linköpings universitet/DatorseendeAbstract : Light Detection and Ranging (LiDAR) sensors have many different application areas, from revealing archaeological structures to aiding navigation of vehicles. However, it is challenging to interpret and fully use the vast amount of unstructured data that LiDARs collect. READ MORE
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23. Multi Sub-Pass & Multi Render-Target Shading In Vulkan : Performance Based Comparison In Real-time
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Games today are becoming more complex in computational andgraphical areas. Companies today want to develop games with state of the artgraphics while also having complicated and complex game logic. The vast majorityof users rarely meet the computer requirements. READ MORE
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24. Automatic Gait Recognition : using deep metric learning
University essay from Linköpings universitet/DatorseendeAbstract : Recent improvements in pose estimation has opened up the possibility of new areas of application. One of them is gait recognition, the task of identifying persons based on their unique style of walking, which is increasingly being recognized as an important method of biometric indentification. READ MORE
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25. Detection of Archaeological Sites from Aerial Imagery using Deep Learning
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : In recent years, Deep Learning has proven to be an outstanding tool in the field of computer vision showing promising results in different fields such as the analysis of medical images, obstacle detection for self-driving cars, automatic image caption generation, etc. In the case of Archaeology, the adoption of these methods in the detection of archaeological structures from aerial images has been slower than in other fields. READ MORE