Subdivision Its Applications in Solid Modeling and Signal Compression (Paperback)


Subdivision for curves and surfaces has gained popularity in Computer Graphics and Computer Aided Geometric Design during the past two decades. In this dissertation, we design a hexahedral-based, approximation scheme. Ternary wavelets based on an interpolating 4-point ternary stationary subdivision scheme for compressing fractal-like signals are introduced. In this dissertation, error bounds between binary/ternary subdivision curves/surfaces and their control polygons after k-fold subdivision in terms of the maximal differences of the initial control point sequences and constants that depend on the subdivision mask is estimated. The bound is independent of the process of subdivision and can be evaluated without recursive subdivision. Our technique is independent of parameterizations therefore it can be easily and efficiently implemented.

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Product Description

Subdivision for curves and surfaces has gained popularity in Computer Graphics and Computer Aided Geometric Design during the past two decades. In this dissertation, we design a hexahedral-based, approximation scheme. Ternary wavelets based on an interpolating 4-point ternary stationary subdivision scheme for compressing fractal-like signals are introduced. In this dissertation, error bounds between binary/ternary subdivision curves/surfaces and their control polygons after k-fold subdivision in terms of the maximal differences of the initial control point sequences and constants that depend on the subdivision mask is estimated. The bound is independent of the process of subdivision and can be evaluated without recursive subdivision. Our technique is independent of parameterizations therefore it can be easily and efficiently implemented.

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Product Details

General

Imprint

VDM Verlag

Country of origin

Germany

Release date

June 2010

Availability

Expected to ship within 10 - 15 working days

Authors

Dimensions

229 x 152 x 7mm (L x W x T)

Format

Paperback - Trade

Pages

124

ISBN-13

978-3-639-26356-5

Barcode

9783639263565

Categories

LSN

3-639-26356-1



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