Skip to content

3D Hole Filling

Function

Grid the input point cloud on the XOY plane, then perform linear interpolation on the point cloud height in the holes to fill the point cloud in the holes.
3D Hole Filling

Parameter Introduction

Input Parameters

ParameterRangeDefault ValueDescriptionIllustration
Input Image0-80IM number for image input

Calculation Parameters

ParameterRangeDefault ValueDescriptionIllustration
Grid Length0.050Set the side length for grid division. Smaller values represent finer grid division, but processing time increases accordingly. Larger values result in larger grid divisions, showing an effect similar to downsampling.
Search Radius5.000In the gridded point cloud, the search radius when searching for valid points around hole points. The larger this value, the greater the influence of surrounding points on the hole point.
Output Image0-80IM number for image output

Output Parameters

NameTypeRangeDescription
Resultbooltrue/falsetrue for success
false for failure
Warningbooltrue/falsetrue indicates a warning
false indicates no warning
MessagestringOutput success, error, or warning messages. Empty if no error or warning.
TimefloatOperator execution time, unit: ms

Exception Troubleshooting

No.Exception InformationCorresponding ParameterSolution
1Input value is {0}, please increase the grid length parameter valueGrid LengthIncrease grid length => point cloud distance
2Point cloud hole filling failedCheck if input point cloud is empty

Example Introduction

Engineering Design

  1. Select the Load 3D Point Cloud tool to load the required 3D point cloud image to IM0.

  2. Select the 3D Hole Filling tool.

Tool Usage

  1. Select the input image for the operation. The image number must match the IM number where the image is located in the project.

  2. Set the parameters.

  3. Click Test to check if the image window and parameters meet expectations.

  4. If there are no issues, click Save. Run the operator in the run list, and then view the running results in the corresponding IM.

Local Image

AI-Vision, Making 3D Measurement Easier