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dc.contributor.advisorAkleman, Ergun
dc.creatorLee, Jaemin
dc.date.accessioned2012-06-07T23:20:44Z
dc.date.available2012-06-07T23:20:44Z
dc.date.created2003
dc.date.issued2003
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2003-THESIS-L436
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 45-46).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractIn this thesis, we present a user-friendly and practical method for seamless integration of computer-generated images (CG) with real photographs and video. In general such seamless integration is extremely hard and requires recovery of real world information to simulate the same environment for both CG and real objects. This real world information includes camera positions and parameters, and shapes, material properties, and motion of real objects. Among these one of the most important real world information is lighting. Image based lighting that is developed to recover illumination information of the real world from photographs has recently been popular in computer graphics. In this thesis we present a practical image based lighting method. Our method is based on a simple and easily constructible device: a square plate with a cylindrical stick. We have developed a user-guided system to approximately recover illumination information (i.e. orientations, colors, and intensities of light sources) from a photograph of this device. Our approach also helps to recover surface colors of real objects based on reconstructed lighting information. In addition, we will address our observation on shadows with multi-color lights in a compositing aspect and will present a solution to handle the addressed issue.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectvisualization sciences.en
dc.subjectMajor visualization sciences.en
dc.titlePractical image based lightingen
dc.typeThesisen
thesis.degree.disciplinevisualization sciencesen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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