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Showing result 1 - 5 of 16 essays matching the above criteria.
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1. Club Head Tracking : Visualizing the Golf Swing with Machine Learning
University essay from Uppsala universitet/Signaler och systemAbstract : During the broadcast of a golf tournament, a way to show the audience what a player's swing looks like would be to draw a trace following the movement of the club head. A computer vision model can be trained to identify the position of the club head in an image, but due to the high speed at which professional players swing their clubs coupled with the low frame rate of a typical broadcast camera, the club head is not discernible whatsoever in most frames. READ MORE
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2. Real-Time Video Super-Resolution : A Comparative Study of Interpolation and Deep Learning Approaches to Upsampling Real-Time Video
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Super-resolution is a subfield of computer vision centered around upsampling low-resolution images to a corresponding high-resolution counterpart. This degree project investigates the suitability of a deep learning method for real-time video super-resolution. READ MORE
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3. Automatic Annotation of Models for Object Classification in Real Time Object Detection
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The times of manual labour are changing as automation grows larger and larger by the day. Self-driving vehicles being one of the more well known examples of automation (the vehicles in this thesis being those found in the construction industry), relies on a machine learning network to recognize its surroundings. READ MORE
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4. Hyperspectral Image Registration and Construction From Irregularly Sampled Data
University essay from Linköpings universitet/DatorseendeAbstract : Hyperspectral imaging based on the use of an exponentially variable filter gives the possibility to construct a lightweight hyperspectral sensor. The exponentially variable filter captures the whole spectral range in each image where each column captures a different wavelength. READ MORE
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5. Deep Learning based Video Super- Resolution in Computer Generated Graphics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Super-Resolution is a widely studied problem in the field of computer vision, where the purpose is to increase the resolution of, or super-resolve, image data. In Video Super-Resolution, maintaining temporal coherence for consecutive video frames requires fusing information from multiple frames to super-resolve one frame. READ MORE