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3D Point Cloud Interpolation

Operator Function

Based on the input organized point cloud, perform interpolation on the point cloud according to the number of interpolation points to obtain a new point cloud.

Parameter Introduction

Input Parameters

ParameterRangeDefault ValueDescriptionIllustration
Input Image0-80The IM number for image input
Note: This operator requires organized point cloud as input

Calculation Parameters

ParameterRangeDefault ValueDescriptionIllustration
Interpolation Points per Row0Number of points to interpolate between two adjacent points in each row. Maximum 3 points can be inserted.
Interpolation Points per Column0Number of points to interpolate between two adjacent points in each column. Maximum 3 points can be inserted.
AlgorithmNearest Neighbor InterpolationNearest Neighbor InterpolationNearest Neighbor Interpolation: Uses the nearest point in the neighborhood of the current interpolation position as the interpolation result.
Neighborhood Points4 Neighbors/8 Neighbors/24 Neighbors4 Neighbors4 Neighbors: Search 4 adjacent surrounding points
8 Neighbors: Search 8 adjacent surrounding points
24 Neighbors: Search 24 adjacent surrounding points
Output Image0-80The IM number for image output

Output Parameters

NameTypeRangeDescription
Resultbooltrue/falsetrue for success
false for failure
Warningbooltrue/falsetrue indicates there is a warning
false indicates there is none
MessagestringOutputs success, error, or warning information; if there is no error or warning, it is empty
TimefloatOperator execution time, unit: ms

Exception Troubleshooting

No.Exception InformationCorresponding ParameterSolution
1Input point cloud is emptyCheck if input point cloud is empty
2Only supports organized point cloudInput organized point cloud
3The input value is {0}, invalid neighborhood search methodNeighborhood PointsOnly supports 4 neighbour, 8 neighbour, 24 neighbour
4The input value is {0}, invalid algorithmAlgorithmOnly supports Nearest Neighbour

Example Introduction

Engineering Design

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

  2. Select the 3D Point Cloud Interpolation tool.

Tool Usage

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

  2. Set Interpolation Points per Row, Interpolation Points per Column, Neighborhood Points, and Output Image parameters.

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

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

Local Image

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