Automatic Gully Detection: Neural Networks and Computer Vision

Neural Networks and Neuroscience-Inspired Computer Vision

Brains are, at a fundamental level, biological computing machines. They transform a torrent of complex and ambiguous sensory information into coherent thought and action, allowing an organism to perceive and model its environment, synthesize and make decisions from disparate streams of information, and adapt to a changing environment. Against this backdrop, it is perhaps not surprising that com...

Automatic Fault Detection in Cheese using Computer Vision

In production of cheese with eyes (bubbles of CO2 often referred to as holes) there are occasionally problems with cracks in the cheese. These cracks can pose a problem when cutting up the cheese and they will, even though they are harmless, cause the cheese to appear less attractive for the consumer. Therefore the cheese producing industry is interested in the microbiological reasons behind th...

on Automatic Image Orientation Detection Computer Vision – CS 519

Automatic laughter detection using neural networks

Laughter recognition is an underexplored area of research. Our goal in this work was to develop an accurate and efficient method to recognize laughter segments, ultimately for the purpose of speaker recognition. Previous work has classified presegmented data as to the presence of laughter using SVMs, GMMs, and HMMs. In this work, we have extended the stateof-the-art in laughter recognition by e...

Computer assisted instruction during quarantine and computer vision syndrome

Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the pr...