Jan 19, 2009 - Build a surface from a cloud of points, using Digitized Shape Editor for the ... 2 hours. In this exercise you will: See how to create surfaces from a ...
Version 5 Release 19 January 2009 EDU_CAT_EN_CTS_FI_V5R19
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Cloud to Surface
About this course Objectives of the course Upon completion of this course you will be able to: - Build a surface from a cloud of points, using Digitized Shape Editor for the management of the points and FreeStyle and Quick Surface Reconstruction for the creation of curves and surfaces - Understand the differences of various surface creation methodologies
Targeted audience Surface Designers
Prerequisites
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Students attending this course must have knowledge of FreeStyle, Quick Surface Reconstruction and Digitized Shape Editor
8 hours
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Cloud to Surface
Table of Contents 4 5 6 7 8
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Cloud data preparation Surface based approach Curve based approach QSR Network approach QSR Automatic approach
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Cloud to Surface
Cloud data preparation Phase 1
30 min
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In this exercise you will: Import a cloud of points and prepare it for the following design work. This preparation consists in reducing the number of points in a way that preserves the quality of the shape description
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Cloud to Surface
Surface based approach Phase 2
2 hours
In this exercise you will: See how to create surfaces from a cloud of points in a surface based approach.
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Characteristics of the surface based approach: Intuitive creation of surfaces Full control of shape via control points Real time feed back thanks to analysis tools Efficient for quick surface creation (no strict accuracy expected) Drawbacks: Some practice of control point manipulation required Time and skills required grow very fast with expected quality No associativity to support design changes
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Cloud to Surface
Curve based approach Phase 3
2 hours
In this exercise you will: See how to create surfaces from a cloud of points in a curve based approach.
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Characteristics of the curve based approach: Strict control of shape via their input curves Feature approach (associativity between surfaces and curves) Efficient for quality surface creation (strict accuracy expected) The quality of surfaces relies on the quality of input curves Drawbacks: Abstract approach, with some geometric knowledge required Less efficient for quick design because of time needed for curve creation
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6
Cloud to Surface
QSR Network approach Phase 4
2 hours
In this exercise you will: See how to create surfaces from a cloud of points using Quick Surface Reconstruction (QSR).
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Characteristics of QSR: Creation of surfaces by Powerfit or canonic shape recognition Efficient for quality surface creation (if no strict accuracy expected) The quality of surfaces relies on the quality of input curves Drawbacks: Not efficient for high quality design such as class A design
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Cloud to Surface
QSR Automatic approach Phase 5
2 hours
In this exercise you will: See how to create surfaces from a cloud of points using The Automatic Surface command of QSR.
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Characteristics of Automatic Surface: Very rapid surface creation Possibility to control accuracy Easy to use because of few parameters to control Very efficient for rough surface creation or to quickly replace a cloud by a smooth surface Drawbacks: Mesh needs to be manifold and seamless No control on the face structure of the resulting surface
Instructor Notes:
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8
Cloud to Surface
Summary In this course you have seen how to create surfaces from a cloud of points:
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… with a surface based approach in FreeStyle: Very strict control of surface quality Intuitive user interface Patch by patch approach No associativity … with a curve based approach in FreeStyle Very strict control of surface quality Abstract user interface Associativity … with Quick Surface Reconstruction using Networks Quick process (semi-automatic) Easy to use No strict control of surface quality … with QSR Automatic Surface Very easy and quick Produces rough surfaces
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