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• Produced 3D point cloud data maps from 2D monocular RGB image-based depth maps using Open3D functions. • Exploited a PointNet based Object Detection model to classify 3D point cloud data with 81% training accuracy.

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3D-Point-Cloud-Map

About Open3D -

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization.

Open3D was developed from a clean slate with a small and carefully considered set of dependencies. It can be set up on different platforms and compiled from source with minimal effort. The code is clean, consistently styled, and maintained via a clear code review mechanism.

Open3D has been used in a number of published research projects and is actively deployed in the cloud. We welcome contributions from the open-source community.

3D Model of a Bunny Point Cloud Data of the Bunny
2D Image of a Glass Point Cloud Data of the Glass
2D Grayscale Image of a Pathway 3D Point Cloud Data of the Pathway
2D Image of a Rock 3D Point Cloud Data of the Rock

Conclusion -

• Produced 3D point cloud data maps from 2D monocular RGB image-based depth maps using Open3D functions.

• Exploited a PointNet based Object Detection model to classify 3D point cloud data with 81% training accuracy.

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• Produced 3D point cloud data maps from 2D monocular RGB image-based depth maps using Open3D functions. • Exploited a PointNet based Object Detection model to classify 3D point cloud data with 81% training accuracy.

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