Here is a list of all related documentation pages:

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▼Examples	Here is a list of all Ponca examples :
Ponca basic CPU	This is an example of how to use Ponca to compute the GLS Geometric variation on random data
Ponca basic plane fit	This is an example of how to use Ponca to compute surface variation on random data with plane fitting
Ponca basic line fit	This is an example of how to use Ponca to fit a Line on random 3D samples
Ponca data-structure binding	This is an example of how to instantiate the PointConcept in order to use Ponca on existing data structures without any memory duplication
Using Ponca to compute surface curvature in PCL
Screen Space Curvature using Cuda/C++
Screen Space Curvature using Cuda and Python
Fitting in SYCL kernels	This is an example of how to use Ponca Fitting library in SYCL kernels
Ponca::KdTree neighbor searches	This is an example of how to use Ponca::KdTree to perform nearest, k-nearest and range neighbor search
Comparison between Nanoflann and Ponca KdTree APIs
Object-space Curvature using Cuda/C++ and KdTree queries
Using KdTree in SYCL kernels	This is an example of how to use Kdtree queries within SYCL kernels to speed-up the Ponca Fitting library
Releases overview	Check latest release at: https://github.com/poncateam/ponca/releases/latest
The ponca ecosystem	In itself, the Ponca library only offers the core implementation of algorithm usefull for point cloud processing and analysis
Getting started
▼User Manual	This section provides a quick tour of currently available modules in Ponca
Defining Points in Ponca
Fitting Module: User Manual
Fitting Module: Reference Manual	This page provides a detailed list of what the Fitting module has to offers
Spatial Partitioning: User Manual
Common module: User Manual
Bibliography