Image Annotation to Object

This page describes how to use the extension “Image Annotation to Object”

Main Toolbar > Extensions > Image Annotation to Object

The “Image Annotation to Object” extension makes it possible to convert image annotations defined with pixel coordinates or pixel bounds into 3D coordinates or 3D boxes using the pointcloud resource.

Image annotations for mapping run imagery can be defined in pixel coordinates or pixel bounds defined by two pixel coordinates. The image pixels are converted into 3D coordinates or 3D boxes using the mapping run pointcloud. Both original and optimizes images can be used.

In the image_pixel.ini file describes the tags in the annotation file used for the conversion. Every annotation can have a tag to overlay on the opened image.

Select how the annotations are defined:

• Coordinates: every annotation is defined by 1 coordinate
• Bounds: every annotation is defined by 2 pixel coordinates that form the bounds of the rectangle

Choose how the reference files are structured:

There is one csv or xml file in the original or processed folder that is linked to an image via equal filenames. The image_pixel.ini file describes the xml tags to be used for conversion.

    Element=
    Filename=
    PixelX=
    PixelY=
    PixelMinX=
    PixelMaxX=
    PixelMinY=
    PixelMaxY=
    Tags=
    Attribute0=
    Attribute1=
    ...    

There is one csv or xml file to be selected in which all annotation are described.

After selecting the target file location and CRS, choose to create 3D point objects or boxes.

The result is an ovf with the

The pixels_not_converted.txt contains the list of objects that couldn't be converted.

Depending on which source and target options have been set, the used parameters will be enabled.

Slices are created along the vector line between the camera position and the pixel point.

Slices are created along the vector line between the camera position and the pixel point.

The thickness of the slices created from camera position to pixel point to search for points.

• For creating 3D Coordinates: If a slice has an object, don't search in the following slices.
  
• For creating 3D Boxes: Do search in the following slices up until the Search Dist Max is reached.

The maximum distance from the camera to the detected object.

The radius around the vector between camera position and pixel point to search for cluster points.

Tooltip: The cluster size to identify coordinates in the direction from camera position to image position.

The minimum number of points to have a cluster. For less dense point clouds, decrease this parameter.

The search radius around the direction camera to pixel position to search for the 3D object.

The ground margin used to identify a 3D box reached the ground to be able to end the clustering.

The box is divided into voxels of this size.

Nearby voxels that have the minimum number of points will be clustered into an object.

The result is an ovf with the

The pixels_not_converted.txt contains the list of objects that couldn't be converted.