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Full-Text Articles in Engineering
Underwater Computer Vision - Fish Recognition, Spencer Chang, Austin Otto
Underwater Computer Vision - Fish Recognition, Spencer Chang, Austin Otto
Computer Engineering
The Underwater Computer Vision – Fish Recognition project includes the design and implementation of a device that can withstand staying underwater for a duration of time, take pictures of underwater creatures, such as fish, and be able to identify certain fish. The system is meant to be cheap to create, yet still able to process the images it takes and identify the objects in the pictures with some accuracy. The device can output its results to another device or an end user.
An Approach To Robust Homing With Stereovision, Fuqiang Fu, Damian Lyons
An Approach To Robust Homing With Stereovision, Fuqiang Fu, Damian Lyons
Faculty Publications
Visual Homing is a bioinspired approach to robot navigation which can be fast and uses few assumptions. However, visual homing in a cluttered and unstructured outdoor environment offers several challenges to homing methods that have been developed for primarily indoor environments. One issue is that any current image during homing may be tilted with respect to the home image. The second is that moving through a cluttered scene during homing may cause obstacles to interfere between the home scene and location and the current scene and location. In this paper, we introduce a robust method to improve a previous developed …
Using Intel Realsense Depth Data For Hand Tracking In Unreal Engine 4, Granger Lang
Using Intel Realsense Depth Data For Hand Tracking In Unreal Engine 4, Granger Lang
Liberal Arts and Engineering Studies
This project describes how to build a hand tracking method for VR/AR using the raw data from a depth sensing camera.