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3D Registration
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
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.
Calculating the 3D pose of the objects by finding the trained
deformable model.
The 3D object shape is determined by 3D registration.
3D Vision Technologies
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vision brochure
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