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3D LBP Library is a Python package written in Rust to provide efficient implementations of 3D Local Binary Pattern (3D LBP) and its variations. It's designed for robust texture analysis and feature extraction from volumetric data (e.g., Point Clouds) for computer vision and machine learning applications.

A Differentiable Raytracing Renderer allows using it as a layer in a Deep Neural Network.

A Python implementation of computer vision algorithms based on the theory of the book "Multiple View Geometry in Computer Vision", second edition, by Richard Hartley and Andrew Zisserman, Cambridge University Press.

A set of 3D mesh processing tools.