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Efficient Visualization Pipeline in C++: Transforming & Displaying Data Primitives

Understand the visualization pipeline in C++ for transforming data into graphics primitives. Learn about data representation, test data generation, and executing the pipeline efficiently with explicit and implicit control. Explore the process objects, filters, and mapping elements involved in the visualization pipeline. Discover the programming data interface and how to convert data using interfaces like vtkVRMLExporter and vtk3DSImporter. Put all the concepts together using C++ with strong typing and demand-driven execution for optimal performance.

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Efficient Visualization Pipeline in C++: Transforming & Displaying Data Primitives

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  1. Chapter 4 The Visualization Pipeline • Yingcai Xiao

  2. Visualization: Transformation & Representation Transformation: Converting data from its original form into graphics primitives. Data representation: including internal data structure for storing the original data and the graphics primitives for displaying the data. Visualization: transformating data from one representation to another representation.

  3. Test Data Generation • The Functional Model • f=F(x) • f=F(x,y) • f=F(x,y,z) • Given (x,y,z) of a grid node, compute the fake data value using F. 

  4. Visualization Pipeline

  5. Pipeline Objects Data Objects (data structures) Process Objects (algorithms) Source (out only) Filter (in & out) Mapper (in only)

  6. Executing the Pipeline • Efficiency: avoid unnecessary execution • Execution: using a process object to operate • Demand-driven: caused by output request • Event-driven: caused by input parameter changes

  7. Explicit Execution: Centralized Control

  8. Implicit Execution: Decentralize Control

  9. Programming Data Interface • Programming interface: function • File interface: I/O • System interface: • Converts • vtkVRMLExporter • vtk3DSImporter

  10. Put It All Together • C++, strong typed, implicit control, demand-driven • Filter2SetInput(Filter1GetOutput) • Intermediate data: • Store: fast, more memory • Don’t store: slower, less memory

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