SIFT: Scale Invariant Feature Transform
3D Image Recognition Technology for Machine Vision
- Robust and well-proven method for object recognition
- Recognize objects with partial visibility, different lighting conditions or zoom
- Extends object recognition to 3D
Researchers at The University of British Columbia have developed an advanced technology that allows computers to recognize objects in digital images. Given a few previous images of an object, the system can recognize the object in new images even under different lighting conditions, magnification/zoom, and 3-D orientations, including when it is partially hidden in a scene.
The technology has proven effective in a large range of applications to detect local features in images. SIFT is widely recognized as a ‘best in class’ solution for image recognition and detection. The technology is patented and has been licensed by many companies for use in a wide variety of products and markets.
Non-exclusive licenses to the patent are available in various fields of use. Parties interested in licensing SIFT should direct queries to the listed Contact for further information.