Manual Registration

This tool is used for coordinate rectification of to-be-aligned data with respect to reference data. The two datasets can be "point cloud and point cloud", "point cloud and image", or "image and image". At least 3 pairs of homologous points(or fitted spheres in point cloud) should be added in the datasets, which are displayed in separate windows, before the calculation of transformation parameters. You can evaluate the accuracy using the residuals of homologous points listed in the table window.

Lidar360 Rectify

Note: You have to create at least two display windows (except the profile window) before using this tool.


  1. Create two display windows and load the reference data and the to-be-aligned data into separate windows. Click the Manual Registration tool to open the following dialog.

    Lidar360 Rectify
  2. Select Reference window for the reference data and Alignment window for the to-be-aligned data. Then click the OK button. The following table window with a series of tools pops up.

    Lidar360 Rectify
  3. (Optional) Click the Load Data button to load homologous points from existing file. Then you can skip the manual measurement (steps 5, 6, 7).

  4. Click Pick Point or Pick Registration Sphere to measure a pair of homologous points (or fit a pair of spheres) in reference window and alignment window. If spheres are fitted, their centers are used as homologous points.

  5. Click the button Add Point to add blank row for a new pair of homologous points.

  6. Repeat steps 5 and 6 to pick at least three pairs of homologous points (or spheres).

  7. (Optional) If the option Predict is checked and there exist at least 3 pairs of homologous points, the corresponding position in the reference window will be predicted after picking a point in the alignment window.

  8. (Optional) The user can exclude a pair of homologous points in the calculation of transformation parameters: (1) Uncheck the row of the homologous points in the table; (2) Or click the Delete Point button after selecting the corresponding row.

  9. (Optional) The user can modify the coordinates of added homologous points: (1) Pick point again in the alignment window and reference window after selecting a row of homologous points; (2) Or double click the coordinates in a row, then input new values directly.

  10. (Optional) The user can view each homologous point quickly for quality check: Double click a row in the table to jump to the corresponding positions in the display windows.

  11. (Optional) Click the Save Data button to save the homologous points to file.

  12. Click the button Transform to calculate transformation parameters and generate aligned data.


Lidar360 Rectify

Following functions are integrated in the toolbar.

Lidar360 save Save Data: Save homologous points to file.
Lidar360 Open Load Data: Load homologous points from file (Please refer to File Format of Homologous Points).
Lidar360 DataAdd Add Point: Add blank row for a new pair of homologous points in the table.
Lidar360 DataDelete Delete Point: Delete selected row in the table.

Point Size (Default: "20"): Point size of homologous points in display windows.

Predict (Default: Unchecked): If this option is checked and there exist at least 3 pairs of homologous points, the corresponding position in the reference window will be predicted after picking a point in the alignment window.

Lidar360 pickcloud Pick Point: Pick homologous points in reference window and alignment window.
Lidar360 sphere Pick Registration Sphere: If target ball is used for point cloud registration, this function can fit sphere automatically after clicking the target ball in point cloud. The sphere center is used as homologous point.

R: Radius for sphere fitting. Please input the actual radius of target ball.

RMS: The threshold of root mean square error for sphere fitting. Please set larger value for point cloud of low quality in case of fitting failure.

Adjust Scale (Default "unchecked"): If the scale between data is different, this option needed to be checked in order to generate a scaling factor. If it is not checked, the point cloud is considered to be a rigid transformation, and the calculated rotation matrix does not contain a scaling factor.

Lidar360 InteractiveTransformationTransform: The coordinates are rectified based on homologous points. While processing image data, the user can specify different methods, which include polygonal correction and polynomial correction. The polynomial correction varies depending on N pairs of homologous points. |Polynomial Correction|Condition| |:-:|:-:| |Primary Polynomial |3 <= n="" <="" 6|="" |quadratic="" polynomial="" |6="" 10|="" |cubic="" |10="" Lidar360 InteractiveTransformationPreview: If this option is checked, a new window for preview will be created. The reference point cloud and the point cloud with the current transformation matrix applied will be displayed in this window. If users want to see the transform in preview, they can use this function. Currently, the preview only supports adding point cloud data. The picture below shows the effect of preview function.
Lidar360 Rectify
Lidar360 InteractiveTransformationExport Transform Matrix: When the point pairs picked in two windows are more than 3 pairs, software will generate the transform matrix shown in the matrix information table. Click this button to save the current transform matrix.
Lidar360 Rectify
Lidar360 InteractiveTransformationInput Transform Matrix: Input a txt format transform matrix. The matrix should be 4 by 4. Click "apply" to show the matrix in the matrix information table.
Lidar360 Rectify

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