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Halcon

3D Registration

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Using 3D registration, the 3D object shape is determined from multiple views with a 3D sensor.

Introduction of the technology

3D sensors directly capture the 3D coordinates of the visible points on the object surface. Using multiple 3D images of the object acquired from different points of view, the pairwise overlap of the 3D data is computed and a globally optimized shape is derived.

Particularly suitable for ...

3D reconstruction, i.e. determining the 3D shape of arbitrary objects. The 3D object shape can be used in 3D matching, for quality inspection of 3D objects, or for the position recognition of 3D objects.

Supported by HALCON

HALCON supports the direct derivation of the 3D object shape from 3D sensor data using 3D registration. Furthermore, HALCON offers advanced 3D shape processing techniques like smoothing, subsampling, and triangulation to prepare the shape model for 3D matching and object comparison.

Perspective Matching

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Only a planar part of the object is necessary to determine the 3D pose of the object by exploiting perspective matching techniques.

Introduction of the technology

Instead of using the full 3D shape of an object, for many applications it is possible to restrict the model area to a planar part of the object. For arbitrarily shaped object parts, perspective matching allows to determine the 3D pose with only one camera. The model generation is done by training a sample image of the object typically inside a specified ROI.

Particularly suitable for ...

3D alignment, e.g., applications for which the 3D pose (position and orientation) of an object must be found. Examples are automotive and robotics applications, pick-and-place applications, and bin picking. A further possibility is the measuring of geometric features on complex 3D objects after 3D alignment.

Supported by HALCON

HALCON's perspective matching helps finding objects easily with only one camera. For perspective matching, HALCON provides two different methods suitable for two different classes of objects. Depending on the object's shape and appearance, HALCON offers both deformable matching, which is based on the shape-based matching technology (object edges), and descriptor-based matching, which uses so-called interest points.

Application example

  • 3D alignment with perspective matching.
  • 3D registration.
3D matching example: click to get larger view of image
Calculating the 3D pose of the objects by finding the trained deformable model.
3D matching example: click to get larger view of image
The 3D object shape is determined by 3D registration.

3D Vision Technologies


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