Binocular Stereo
Two cameras acquire images from different points of view. The disparity map
of these images is calculated and based on this, the 3D shape
of the object is determined.
Introduction of the technology
The 3D coordinates of the visible points on the object surface can be determined based on two images that are acquired from different points of view. This is done by calculating the disparity map of the calibrated two camera setup.Particularly suitable for ...
3D reconstruction, i.e. determining the 3D shape of arbitrary objects, especially useful for midand large-sized textured objects. It can be used for quality inspection of 3D objects. Further possibilities are the position recognition of 3D objects, e.g., useful as a pre-processing step for 3D matching.Supported by HALCON
HALCON supports stereo vision by calculating the 3D coordinates on the object surface with the aid of a two camera setup. This can be realized by either calculating a dense height map, or by determining the height for specific points or edges – especially suitable for highly accurate height measuring. Furthermore, HALCON offers multigrid stereo – an advanced method to interpolate the 3D data in homogeneous image parts. This method yields higher accuracy for small objects.Application example
Binocular stereo with HALCON.
Calculating the 3D shape of the object using a calibrated two camera setup.
3D Vision Technologies
- 3D Calibration
- 3D Matching
- Perspective Matching, Circle Pose & Rectangle Pose
- Binocular Stereo
- Monocular 2 ½ D – Depth from Focus & Sheet of Light
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vision brochure
