Stereo Vision
Two or more 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 or more images that are acquired from different points of view. This is done by calculating the disparity map of the calibrated camera setup.Particularly suitable for ...
3D reconstruction, i.e. determining the 3D shape of arbitrary objects, especially useful for mid- and large-sized textured objects. It can be used for quality inspection of 3D objects or for the position recognition of 3D objects. Furthermore, stereo vision can be 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 (binocular) or multiple cameras (multi-view). This can be realized either by calculating dense 3D coordinates or distance images, or by determining the coordinates 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
- Overview
- 3D Calibration
- 3D Matching
- Perspective Matching, Circle Pose & Rectangle Pose
- Stereo Vision
- Monocular 2 ½ D – Depth from Focus & Sheet of Light
Download 3D
vision brochure
