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dc.contributor.advisorHilford, Victoria
dc.creatorDeshpande, Prachi 1984-
dc.date.accessioned2015-08-17T03:12:07Z
dc.date.available2015-08-17T03:12:07Z
dc.date.createdMay 2013
dc.date.issued2013-05
dc.identifier.urihttp://hdl.handle.net/10657/974
dc.description.abstractNatural ecosystems are the backbone of human society. They support humanity's agricultural needs and provide clean air and water. However, environmental problems such as global warming and rising sea level created a strong urge to preserve natural ecosystem. The goal of the Virtual Prairie project is to study the fundamental mechanisms involved in regulating the population of plants in a prairie. The idea is to involve the general public in ecology projects, first training them in identifying prairie species and then allowing them to identify these species. The data generated are further processed to answer research questions such as how vegetation responds to variation in precipitation, effects of salt water on plant growth, etc. In an experiment conducted in Sapelo Island, Georgia, a large amount of data was recorded by digitally capturing images of a sampling area. The area was approximately 3,200 square meters and 3 to 4 images per square meters were acquired. Analyzing this large amount of spatially explicit digital data is impossible for a single scientist, creating a huge obstacle to progress of ecological studies. It would be helpful if the scientists were able to identify, for example, which plant species dominated over a few months, how it affected the animal community, what was the effect on their natural habitat, etc. Along with the detailed information that is available from the individual image, it is also advantageous to have a complete view of the entire marsh in order to understand the spatial relationships of different species. Therefore, stitching multiple overlapping images together to form a mosaic was necessary. However, applying automatic methods for image alignment and stitching did not produce accurate results because of the issues imposed by prairie images. Hence, the Image Matching Web Interface (IMWI) game was developed. IMWI is used as platform for users to be able to find matching points between pairs of images. We collect the data produced by the trained players playing on unprocessed images. These data will be used by a post-processing group to stitch the overlapping images together to form a mosaic of the marsh.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectweb-based game
dc.subjectPHP
dc.subjectZend
dc.subjectMySQL
dc.subjectWAMP
dc.subject.lcshComputer science
dc.titleImage Matching Web Interface Game
dc.date.updated2015-08-17T03:12:07Z
dc.type.genreThesis
thesis.degree.nameMaster of Science
thesis.degree.levelMasters
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Houston
thesis.degree.departmentComputer Science, Department of
dc.contributor.committeeMemberGarbey, Marc
dc.contributor.committeeMemberPennings, Steven C.
dc.type.dcmiText
dc.format.digitalOriginborn digital
dc.description.departmentComputer Science, Department of
thesis.degree.collegeCollege of Natural Sciences and Mathematics


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