Index Catalog // ScholarsArchive@OSU

Creator:: Oberoi, Daman and Fern, Alan
Abstract:: We develop a system for simulation-based optimization of defensive formations for American football. The first component of the system is an environment for simulating football plays with real physical interactions between players and their surroundings. The simulator is built on the AGEIA PhysX engine, which incorporates rigid body dynamics and...
Resource Type:: Capstone Project
Full Text:: Department of Electrical Engineering and Computer Science Oregon State University December 7, 2006

Creator:: Hess, Robin W.
Abstract:: In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
Resource Type:: Dissertation
Full Text:: structure within chaos—that makes football a worthwhile domain to study from a computer vision researcher’s

Creator:: Peterman, Wendy L.
Abstract:: The over-arching theme of this work is that soil data affect the performance and realism of vegetation models with particular focus on their ability to predict or explain disturbances such as fire or disease. We tested the sensitivity of the Excel version of the 3-PG model to soil properties and...
Resource Type:: Dissertation
Full Text:: DISSERTATION submitted to Oregon State University in partial

Creator:: Bousfield, Wayne E., Livingston, R. Ladd, and United States. Forest Service. Northern Region
Resource Type:: Technical Report
Full Text:: pseudotsugata (McDunnough) United States Forest Northern P.O. Box 7669 Department of Service Region

Creator:: Bousfield, Wayne E., Wulf, N. William, Carlson, Clinton E., and United States. Forest Service. Northern Region
Resource Type:: Technical Report
Full Text:: -HAZARD is a computer model of the concepts set forth by Wulf and Carlson (In Press) and Carlson et al

Creator:: Lindsley, Adam E.
Abstract:: This study investigates the use of predictive mapping techniques as well as geotechnical criteria in developing a multiregional soil liquefaction model and subsequent maps. The maps were produced using National Cooperative Soil Survey data, in the gSSURGO format, combined with soil liquefaction data gathered from studies, articles, and traditional seismic...
Resource Type:: Masters Thesis
Full Text:: Washington State (WA), Oregon (OR), Arkansas (AR), Missouri (MO), and South Carolina (SC), with

ScholarsArchive@OSU