/Visualize_Point_Density

Visualize point density by using a sequential colormap

Primary LanguageC++

Visualize Point Density

Overview

Visualize point density of the point cloud.

Usage

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     Visualize Point Density
         Tomomasa Uchida
           2021/02/06
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  USAGE:
  vpd [input_file] [output_file] [max_value_adjustment_ratio] [colormap_type]

  EXAMPLE:
  vpd input.ply output.spbr 0.8 -v

   [max_value_adjustment_ratio]
    0.8: new_max_value = max_value * 0.8
    1.0: no change.

   [colormap_type]
    -v: Viridis
    -p: Plasma
    -i: Inferno
    -m: Magma
    -c: Cividis

Example

$ sh config_vpd.sh
$ make
$ make install
$ make test_vpd

Bounding Box:
 Min: 0.0492606 0.0509949 0.103085
 Max: 0.52798 0.525888 0.474338

Number of points:
 500018

ColorMap:
 Viridis

Diagonal length of BB:
 0.769756

Input divide value ( search radius = diagonal length / divide value ): 100
 search radius: 0.00769756 ( = 0.769756 / 100 )

Now Octree Searching...
Done Octree search! ( 3.55287 [sec] )

Point density statistics:
 Min: 15
 Max: 509

Max value was adjusted:
 Min: 15
 Max: 407

Point density was normalized:
 Min: 0.036855
 Max: 1.00049

Writing spbr file (./out_viridis.spbr)...
Done writing spbr file! ( 1.15244 [sec] )

Visualization Results

Viridis Plasma Inferno Magma Cividis
L=1 L=50 L=100
Ookabuto Fune-hoko float Borobudur