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Full-Text Articles in Electrical and Computer Engineering
Raw Depth Image Enhancement Using A Neural Network, Xuan Xie
Raw Depth Image Enhancement Using A Neural Network, Xuan Xie
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
The term image is often used to denote a data format that records information about a scene’s color. This dissertation object focuses on a similar format for recording distance information about a scene, “depth images”. Depth images have been used extensively in consumer-level applications, such as Apple’s Face ID, based on depth images for face recognition.
However, depth images suffer from low precision and high errors, and some post-processing techniques need to be utilized to improve their quality. Deep learning, or neural networks, are frameworks that use a series of hierarchically arranged nonlinear networks to process input data. Although each …
Association Learning Via Deep Neural Networks, Trevor J. Landeen
Association Learning Via Deep Neural Networks, Trevor J. Landeen
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Deep learning has been making headlines in recent years and is often portrayed as an emerging technology on a meteoric rise towards fully sentient artificial intelligence. In reality, deep learning is the most recent renaissance of a 70 year old technology and is far from possessing true intelligence. The renewed interest is motivated by recent successes in challenging problems, the accessibility made possible by hardware developments, and dataset availability.
The predecessor to deep learning, commonly known as the artificial neural network, is a computational network setup to mimic the biological neural structure found in brains. However, unlike human brains, artificial …