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Depth peeling for point clouds.

C++ 43.10% C 48.48% GLSL 0.58% Python 7.84% Makefile 0.01%

depth-peeling noise-transparentization image-averaging gaussian-noise outlier point-clouds realistic-visualization noise-robust layer-image

depth_peeling_for_point_cloud's Introduction

Depth_Peeling_for_Point_Cloud

Visualization of peeling process

Noise Point Clouds

Gaussian noise (10%)	Outlier noise (10%)

Various Number of Points

400,000 points (1%)	2,000,000 points (5%)

4,000,000 points (10%)	1,0000,000 points (25%)

New Command

#/LayerLevel 1

Usage

$ sh config_dp.sh
$ make
$ make install

$ make test_ply_ascii
$ make test_ply_binary
$ make test_spbr_ascii
$ make test_spbr_binary

Example

$ cat .param.spbr
#/LayerLevel 20

$ ./dp input.ply

===== Depth Peeling for Point Cloud =====

                2021/02/07
              Tomomasa Uchida
           Ritsumeikan University

 USAGE : dp file1.spbr file2.spbr ...
 HELP  : dp -h

~~~

Executing Depth Peeling "20" times...
Done! ( 0.3871 [sec] )

Automatically, snapshotted.
Saved image path: IMAGE_DATA/OUTPUT_LAYER_IMAGES/LayerImageX.bmp

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