Essays about: "Semantisk Segmentering"
Showing result 21 - 25 of 57 essays containing the words Semantisk Segmentering.
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21. Operational data extraction using visual perception
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE
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22. Road Damage Segmentation for Mobile Hardware
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. READ MORE
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23. Feasibility of Dynamic SPECT-Renography with Automated Evaluation Using a Deep Neural Network
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Introduction: Renography is a standard diagnostic examination that evaluates renal function, renal pelvic dilatation and urinary obstruction. Renography is performed by injecting a radiopharmaceutical (predominately 99mTc-MAG3) and using gamma camera to image the biodistribution in a dynamic sequence. READ MORE
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24. Real-time hand segmentation using deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. READ MORE
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25. Semantic Segmentation of Building Materials in Real World Images Using 3D Information
University essay from Linköpings universitet/DatorseendeAbstract : The increasing popularity of drones has made it convenient to capture a large number of images of a property, which can then be used to build a 3D model. The conditions of buildings can be analyzed to plan renovations. This creates an interest for automatically identifying building materials, a task well suited for machine learning. READ MORE