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OverviewBeing able to reverse engineer from point cloud data to obtain three-dimensional (3D) models is important in modeling. This thesis presents a new method to obtain a tensor product B-spline representation from point cloud data by fitting surfaces to appropriately segmented data. Point cloud data obtained by digitizing 3D data, typically presents many associated complications like noise and missing data. Our method addresses all these issues. This work presents a framework that works robustly in the presence of holes in the data and is straightforward to implement. The original contribution of this work includes a new method to fill triangulated surfaces with missing data, a new curve smoothing algorithm based on the MLS Projection and a new method to fit B-spline surfaces by blending local fits. This work is the outcome of research carried out under the guidance of Prof. Elaine Cohen at the University of Utah. Full Product DetailsAuthor: Lavanya Sita TekumallaPublisher: LAP Lambert Academic Publishing Imprint: LAP Lambert Academic Publishing Dimensions: Width: 15.20cm , Height: 0.50cm , Length: 22.90cm Weight: 0.141kg ISBN: 9783848418374ISBN 10: 3848418371 Pages: 88 Publication Date: 12 March 2012 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |