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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
Reconstructing Point Clouds Of Mid-Size Objects, Spencer Woodworth
Reconstructing Point Clouds Of Mid-Size Objects, Spencer Woodworth
Computer Science and Software Engineering
This project explores the use of an inexpensive 3D camera for the acquisition and reconstruction of mid-size objects. The disparity of objects between stereo image pairs are used to calculate depth and generate a depth map. The depth map is used to generate a point cloud representation of the object from a single view. Finally, point clouds are generated from several views of an object and then aligned and merged into a seamless 360-degree point cloud.
Channels: Easy Video Content Consumption, Alexander R. Ledwith
Channels: Easy Video Content Consumption, Alexander R. Ledwith
Computer Engineering
The idea for this project is to take a user’s digital movie and television show library, and organize the individual videos into lists that will continuously and concurrently play like cable TV channels. This means that when a list of channels is switched to, video content will automatically start playing, possibly in the middle, based on a schedule. It should serve the needs of the user by allowing the user to quickly watch any of their existing channels, easily add a new channel based on chosen criteria or manual selection, and easily add new video content. In addition, the product …
Misheard Me Oronyminator: Using Oronyms To Validate The Correctness Of Frequency Dictionaries, Jennifer G. Hughes
Misheard Me Oronyminator: Using Oronyms To Validate The Correctness Of Frequency Dictionaries, Jennifer G. Hughes
Master's Theses
In the field of speech recognition, an algorithm must learn to tell the difference between "a nice rock" and "a gneiss rock". These identical-sounding phrases are called oronyms. Word frequency dictionaries are often used by speech recognition systems to help resolve phonetic sequences with more than one possible orthographic phrase interpretation, by looking up which oronym of the root phonetic sequence contains the most-common words.
Our paper demonstrates a technique used to validate word frequency dictionary values. We chose to use frequency values from the UNISYN dictionary, which tallies each word on a per-occurance basis, using a proprietary text corpus, …
Mantis: A Predictive Driving Directions Recommendation System, Christopher Hoover
Mantis: A Predictive Driving Directions Recommendation System, Christopher Hoover
Master's Theses
This thesis presents Mantis, a system designed to evaluate possible driving routes and recommend the optimal route based on current and predicted travel conditions. The system uses the Bing Maps REST service to obtain a set of routes. Traffic data from the California Department of Transportation’s Performance Measurement System (PeMS) is then used to estimate travel times for these routes. In addition to simple travel time estimation based on instantaneous traffic conditions, Mantis can use historic data to predict traffic speeds at future times. This allows Mantis to more effectively account for regularly repeating traffic patterns such as rush hour, …
Project Writeup On Amethyst: A 3d Adventure Game For Tablets, Adam Hintz
Project Writeup On Amethyst: A 3d Adventure Game For Tablets, Adam Hintz
Computer Science and Software Engineering
Amethyst is a point-and-click science fiction adventure game for tablets, developed over two quarters to demonstrate applied principles of computer graphics and software engineering discipline. Using a novel interaction system, players can engage in environmental puzzles. Development of Amethyst required non-trivial quality assurance measures and workflow enhancements. The end result is a functional technical demo showcasing a single level, with the ability to rapidly produce more content.
Csc Senior Project: Nlpstats, Michael Mease
Csc Senior Project: Nlpstats, Michael Mease
Computer Science and Software Engineering
Natural Language Processing has recently increased in popularity. The field of authorship analysis, specifically, uses various characteristics of text quantified by markers. NLPStats serves as a tool designed to streamline marker extraction based on user needs. A flexible query system allows for custom marker requests, adjustment of result formatting, and preprocessing options. Furthermore, an efficiently designed structure ensures that users retrieve information quickly. As a whole, NLPStats enables anyone, regardless of NLP experience, to extract important information about the text of a document.