Properties (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:physicist
|
| gptkbp:almaMater |
gptkb:University_of_California,_Berkeley
|
| gptkbp:awards |
ACM Fellow
IEEE Fellow |
| gptkbp:birthDate |
1954-04-03
|
| gptkbp:birthPlace |
gptkb:United_States
|
| gptkbp:collaborations |
gptkb:David_Lowe
gptkb:Rafael_C._Gonzalez Richard Szeliski |
| gptkbp:contribution |
Edge detection algorithms
|
| gptkbp:employees |
gptkb:University_of_California,_Berkeley
|
| gptkbp:field |
Computer_Vision
|
| https://www.w3.org/2000/01/rdf-schema#label |
John Canny
|
| gptkbp:influenced |
Computer_Vision_community
|
| gptkbp:influencedBy |
gptkb:David_Marr
|
| gptkbp:knownFor |
Canny edge detector
|
| gptkbp:nationality |
American
|
| gptkbp:occupation |
Professor
|
| gptkbp:patentCitation |
Image processing techniques
Edge detection methods |
| gptkbp:project |
Augmented reality applications
Facial recognition technology Virtual reality systems Human-computer interaction research Medical image analysis Robotic vision systems Computer graphics research Image segmentation techniques Visual perception research Gesture recognition systems 3D reconstruction techniques Biometric recognition systems Color image processing techniques Data-driven vision systems Deep learning in vision research Feature extraction methods Image analysis systems Image restoration methods Machine learning applications in vision Multimedia content analysis. Neural networks for image processing Object detection algorithms Pattern recognition systems Real-time image processing applications Scene understanding techniques Video analysis systems Visual tracking systems Computer_Vision_research_projects |
| gptkbp:publications |
A Computational Approach to Edge Detection
The Canny Edge Detector Computational Vision |
| gptkbp:releaseYear |
1986
1989 |
| gptkbp:researchAreas |
Artificial Intelligence
Machine Learning Robotics |
| gptkbp:researchFocus |
Image processing
|