Geometric Modeling Methods Using Point Cloud Data: Computing Techniques for Recognition and Fitting of Free-form Curves and Surfaces - G. Saravana Kumar - Kirjat - LAP LAMBERT Academic Publishing - 9783843359122 - torstai 21. lokakuuta 2010
Mikäli Kansi ja otsikko eivät täsmää, on otsikko oikein

Geometric Modeling Methods Using Point Cloud Data: Computing Techniques for Recognition and Fitting of Free-form Curves and Surfaces

G. Saravana Kumar

Hinta
Ft 24.126

Tilattu etävarastosta

Arvioitu toimitus ke 30. heinä - to 7. elo
Lisää iMusic-toivelistallesi
Eller

Geometric Modeling Methods Using Point Cloud Data: Computing Techniques for Recognition and Fitting of Free-form Curves and Surfaces

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.

Media Kirjat     Paperback Book   (Kirja pehmeillä kansilla ja liimatulla selällä)
Julkaisupäivämäärä torstai 21. lokakuuta 2010
ISBN13 9783843359122
Tuottaja LAP LAMBERT Academic Publishing
Sivujen määrä 180
Mitta 226 × 10 × 150 mm   ·   272 g
Kieli English