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Contents:
Getting started
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
Plugins
As an API
FAQ
API Reference
Developer guide
Pandora
Userguide
Step by step
Edit on GitHub
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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