Browsing by Subject "Computer Vision"
Now showing items 21-29 of 29
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(2021-07-30)The current study focuses on developing an autonomous vertical flight aircraft ship landing system by directly automating the established Navy helicopter ship landing procedure. The central idea involves visually tracking ...
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(2023-08-15)Optical navigation has recently become increasingly popular as a method of guidance, navigation and control due to its unique advantages over other navigation systems. As a non-contact and non-destructive system, optical ...
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(2013-05-01)Recent rapid development of cost-effective, accurate digital imaging sensors, high-speed computational hardware, and tractable design software has given rise to the growing field of augmented reality in the computer vision ...
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This thesis focuses on sadness detection and recognition using deep learning and image processing in python. It analyzes accurate and efficient ways to collect a large set of “moments” from YouTube videos to build large-scale ...
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Diffusion models have become the state-of-the-art generative model in a multitude of generative tasks such as audio and image synthesis. Until recently, there has not been much success with the specific image-to-image task ...
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(2012-10-19)In this thesis, we presented two case studies on vision-based moving objects measurement. In the first case, we used a monocular camera to perform ego-motion estimation for a robot in an urban area. We developed the ...
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(2023-05-11)The number and intensity of flood events have been on the rise in many regions of the world. In some parts of the U.S., residential properties, transportation networks, and major infrastructure are at risk of failure caused ...
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(2019-04-03)Autonomous micro aerial vehicles (MAV) have gained immense popularity in both the commercial and research worlds over the last few years. Due to their small size and agility, MAVs are considered to have great potential for ...
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A model to detect yawning in a video sequence from a regular camera is proposed. Landmark detectors are able to quickly and accurately estimate the pose of a face with various amounts of light and facial expressions. We ...