LiDAR VR Viewer

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3,7
1,12 ming ta sharh
50 ming+
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LiDAR VR Viewer is dedicated to the visualization of point clouds and surfaces as an immersive experience through virtual reality. With a Bluetooth controller and a simple head-mounted display such as Google cardboard, it turns into a powerful tool to investigate and explore 3D data.

A scientific paper describing this app has been published in the proceedings of the 11th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (2017)

Features :
• Developed for virtual reality head mounted displays such has Google Cardboard
• All-native rendering utilizing OpenGL ES 2.0
• Supports point cloud ASCII files
• Colors the points from elevation, intensity or RGB values
• Supports point cloud with normals, rendered as surfel (work in progress)
• Supports point clouds up to few millions points (depends on the smartphone GPU)
• Supports surface mesh Wavefront .obj files
• Control camera movement with Blue-tooth controller or touchscreen
• * New * Demo files download-able from the start screen
• * New * Button mapping of blue-tooth controller detailed in the start screen menu
• * New * Casting mode to broadcast the 3D model on TV (requires a controller)

Note :
The currently supported input ASCII files are as follows, without header (The columns must be separated by space character : " ")
• 3 columns X Y Z :
1.234 2.567 3.891
• 4 columns X Y Z intensity (float) :
1.234 2.567 3.891 0.2
• 6 columns X Y Z R G B [0-255] :
1.234 2.567 3.891 125 250 135
• 6 columns X Y Z Nx Ny Nz (coordinates + normals):
1.234 2.567 3.891 0.11 0.07 0.91
Oxirgi yangilanish
14-yan, 2020

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Reytinglar va sharhlar

3,7
1,11 ming ta sharh

Nima yangiliklar

Cel shading is now combined with SSAO for a better visual result

Previous version:
- Bug fix: openGL depth got buggy in the last version
- Experimental feature: cel shading to enhance the point clouds visualization
- Screen touch control now available again
- Added one extra demo dataset: 4 millions points forest LiDAR scan