VL3D++ is an open source framework developed in an applied research environment to analyse, process and classify 3D point clouds using Deep Learning.
It was born with a clear goal: to make advanced analysis of 3D data reproducible, understandable and accessible to the research and technical community.
It is the result of years of work in 3D processing, computational geometry and machine learning applied to real cases.
The development of VL3D++ takes place within a
university and scientific context where the priority is to:
new methods for 3D processing.
Deep Learning directly on spatial geometry.
tools that allow results to be validated objectively.
the applicability of the approach in real and complex cases.
From its inception, VL3D++ has been conceived as an open and shared technology.
The goal is to foster knowledge and make it accessible to the technical and research community so it can be studied, reproduced and extended.
Throughout the project, the framework has been tested on
complex datasets and real scenarios:
VL3D++ is the result of the work of expert researchers from the Singular Research Centre on Intelligent Technologies (CITIUS) and the University of Santiago de Compostela (USC) specialising in 3D processing, computational geometry and applied Deep Learning.
Collaboration, research and technology transfer
We foster an ecosystem of open innovation and continuous collaboration between academia and industry. Our technical and research team can guide you to explore how to apply VL3D++ to your case, collaborate on research or study technology-transfer pathways. Anyone interested in professional point cloud classification, or who needs the development of a specific technical functionality for their workflows, can contact our development team directly. We are open to joint research projects, technology transfer and advanced support for the implementation of the framework in production environments.
