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dc.contributor.advisorAli, Md. Haider
dc.contributor.advisorMostakim, Moin
dc.contributor.authorRoy, Biprojit
dc.contributor.authorOishe, Geetanjali
dc.date.accessioned2017-06-15T04:37:23Z
dc.date.available2017-06-15T04:37:23Z
dc.date.copyright2017
dc.date.issued2017
dc.identifier.otherID 13101207
dc.identifier.otherID 13101211
dc.identifier.urihttp://hdl.handle.net/10361/8244
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 41 - 42).
dc.description.abstractImage registration is a very useful technique in the field of Image processing. It has many potential applications for shape and angle estimation. Image registration is a basically aligning two or more images into one common co-ordinate system in order to monitor subtle changes between them. The image registration algorithms rotate ortranslate the source images and determine the relative transformation with the corresponding target image. In this research we are going to reconstruct the shape of a scene/object from different images. The viewpoint of the images will be arbitrary and independent of any available data set. From set of source images we are going to combine the images using image registration techniques to find the estimated shape. We believe this research will be useful regarding the studies of shape reconstruction.en_US
dc.description.statementofresponsibilityBiprojit Roy
dc.description.statementofresponsibilityGeetanjali Oishe
dc.format.extent42 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectImage registrationen_US
dc.subjectShape reconstructionen_US
dc.titleAn improved image registration technique for shape reconstructionen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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