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Contents:

  • Getting started
  • Exploring the field
  • Userguide
    • Overviews
    • Inputs
    • Step by step
      • Matching cost computation
      • Cost volume confidence
      • Cost Aggregation
      • Semantic segmentation
      • Optimization
      • Disparity computation
      • Filtering of the disparity map
      • Disparity refinement
      • Validation of the disparity map
      • Multiscale
    • Sequencing
    • Outputs
    • Profiling
    • Plugins
    • As an API
    • FAQ
  • API Reference
  • Developer guide
Pandora
  • Userguide
  • Step by step
  • View page source

Step by step

The following sections describe Pandora’s stereo matching steps.

  • Matching cost computation
    • Theoretical basics
    • Configuration and parameters
  • Cost volume confidence
    • Theoretical basics
  • Cost Aggregation
    • Theoretical basics
    • Configuration and parameters
  • Semantic segmentation
    • Theoretical basics
    • Configuration and parameters
  • Optimization
    • Theoretical basics
    • Configuration and parameters
  • Disparity computation
    • Theoretical basics
    • Configuration and parameters
  • Filtering of the disparity map
    • Theoretical basics
  • Disparity refinement
    • Theoretical basics
    • Configuration and parameters
  • Validation of the disparity map
    • Theoretical basics
    • Configuration and parameters
  • Multiscale
    • Theoretical basics
    • Configuration and parameters
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