Showing 5 open source projects for "image processing in java"

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  • 1
    Point Cloud Library

    Point Cloud Library

    A standalone, large scale, open project for 2D/3D image processing

    The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too.
    Downloads: 19 This Week
    Last Update:
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  • 2
    Manifold mesh processing

    Manifold mesh processing

    Mesh and point cloud processing tools

    A suite of tools for processing and analyzing meshes and point clouds. 1) Ensuring that meshes are manifold, ie, "nice" 2) Simple smoothing/noise reduction 3) Bare-bones point cloud to mesh and robust normals for point clouds 4) Mesh simplification 5) Curvature calculation on meshes 6) Local shape descriptors on meshes
    Downloads: 0 This Week
    Last Update:
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  • 3
    Point Cloud Library

    Point Cloud Library

    Standalone, large scale, open project for 3D point cloud processing.

    The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. We are financially supported by Open Perception, Willow Garage, NVIDIA, Google, Toyota, Trimble, Urban Robotics, Honda Research Institute, Sandia, Dinast, Optronic, Ocular Robotics, Velodyne, Fotonic, Leica Geosystems, and MKE.
    Downloads: 44 This Week
    Last Update:
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  • 4
    Open source point cloud viewer forked from Radiohead House of Cards Project, based on the Processing Programming Language.
    Downloads: 0 This Week
    Last Update:
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  • 5
    Volumetric is a 3-D image processing tool. It reads point cloud data, expands it to a volumetric space with highly effective memory usage, and filter out necessary points.
    Downloads: 0 This Week
    Last Update:
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