0
Your cart

Your cart is empty

Books > Professional & Technical > Technology: general issues > Engineering: general

Buy Now

Geometric Modeling Methods Using Point Cloud Data (Paperback) Loot Price: R1,780
Discovery Miles 17 800
Geometric Modeling Methods Using Point Cloud Data (Paperback): G. Saravana Kumar

Geometric Modeling Methods Using Point Cloud Data (Paperback)

G. Saravana Kumar

 (sign in to rate)
Loot Price R1,780 Discovery Miles 17 800 | Repayment Terms: R167 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

In the design of sculpted objects such as the exterior of the car body, the design engineer is interested to capture the shape of the sculpted clay or wooden model and create a computer aided design (CAD) model for product development. This technology is also known as reverse engineering of shape. Constructing a CAD model from point cloud data is an inverse problem that is generally ill posed because the information one has does not uniquely determine the solution. New methods based on soft computing techniques such as neural networks, genetic algorithms and traditional analytical techniques for free-form surface recognition, parameterization for surface modeling and contour model recognition for rapid prototyping from point cloud data are presented in this book. The treatment of the subject should especially be useful to academicians and professionals who work in the areas of CAD, 3D data acquisition technologies and rapid product development. This book may also be of general interest to anyone who wants to appreciate the computing techniques that go behind the point cloud processing and surfacing software.

General

Imprint: Lap Lambert Academic Publishing
Country of origin: Germany
Release date: October 2010
First published: October 2010
Authors: G. Saravana Kumar
Dimensions: 229 x 152 x 10mm (L x W x T)
Format: Paperback - Trade
Pages: 180
ISBN-13: 978-3-8433-5912-2
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
LSN: 3-8433-5912-1
Barcode: 9783843359122

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners