Essays about: "Optical-Flow"
Showing result 21 - 25 of 55 essays containing the word Optical-Flow.
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21. Capillary Blood Flow Measurement based on Nail-fold Microscopic Images using Feature Based Velocity Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Microscopic video images of microcirculation have been used in clinical diagnosis for years, and theparameters obtained from images reveal most physiological activities and body organizations.Particularly, the blood flow speed is one of important indexes, which reflects the state ofmicrocirculation and make significant marks in diagnosis. READ MORE
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22. Machine Learning Based Video Editing Toolbox for Automatic Summary of Medical Videos
University essay from Lunds universitet/Matematik LTHAbstract : Recording of medical procedures makes it possible for medical staff to review their work, learn from the mistakes and produce material for education. Medical videos tend to be long, which has an impact on usability and raises issues concerning memory storage. READ MORE
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23. Two Multimodal Image Registration Approaches for Positioning Purposes
University essay from Linköpings universitet/DatorseendeAbstract : This report is the result of a master thesis made by two students at Linköping University. The aim was to find an image registration method for visual and infrared images and to find an error measure for grading the registration performance. READ MORE
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24. Pose Estimation in an Outdoors Augmented Reality Mobile Application
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis proposes a solution to the pose estimation problem for mobile devices in an outdoors environment. The proposed solution is intended for usage within an augmented reality application to visualize large objects such as buildings. As such, the system needs to provide both accurate and stable pose estimations with real-time requirements. READ MORE
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25. Recognizing Semantics in Human Actions with Object Detection
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Two-stream convolutional neural networks are currently one of the most successful approaches for human action recognition. The two-stream convolutional networks separates spatial and temporal information into a spatial stream and a temporal stream. READ MORE