G06V 40/18
Definition
Diese Klassifikationsstelle umfasst:(Für diese Definition ist die deutsche Übersetzung noch nicht abgeschlossen)
Acquisition, pre-processing, feature extraction, clustering, classification of eye regions or eye components (e.g. iris, pupil, eyelids, eyelashes, sclera) for:
- Biometric identification and authentication by eye characteristics, e.g. iris recognition;
- Recognition of eye movements (e.g. fixation, saccade, smooth pursuit) and detection of eye blink;
- Eye tracking, gaze estimation and correction, by acquiring the image of the eye or in combination with the analysis of the scene (e.g. using saliency models) for biometric purposes. The techniques involved may use specialised hardware, such as head-mounted systems, infrared or visible light, or may use computer vision methods, such as modelling eye and scene geometry, appearance-based methods, etc.;
- Red eye detection due to image acquisition using a camera flash;
- Monitoring attention-based eye movements, e.g. for measuring the time spent when looking at products for advertisements purposes;
- Detecting and monitoring the eye open and eye closed states, e.g. for monitoring driver fatigue.
Examples
Iris recognition
Patterns of the eye are extracted and used for personal identification.
The IrisCode (a binary sequence which characterises the texture of the iris) may be used for personal identification.
Acquisition of the eye using a dual system based on a low resolution acquisition to detect the face and high resolution camera to detect the iris.
Detection of the iris region using the variations of the image grey levels along a crossing line.
Geometrical representation of different eye components.
Eye detection using a neural network.
Querverweise
Informative Querverweise
| Computing image salient features for recognition purposes | G06V 10/46 |
| Recognition or understanding of scenes inside of a vehicle | G06V 20/59 |
| Recognition of human or animal bodies within images or video, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands | G06V 40/10 |
| Recognition of fingerprints or palmprints in images or video | G06V 40/12 |
| Recognition of human faces in images or video, e.g. facial parts, sketches or expressions | G06V 40/16 |
| Apparatus for testing the eyes; Instruments for examining the eyes | A61B 3/00 |
| Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements | G06F 3/00 |
| Image analysis for determining position or orientation of objects or cameras | G06T 7/70 |
| Scanning, transmission or reproduction of documents or the like; Colour correction or control; Red eye correction | H04N 1/62 |
Spezielle Klassifizierungsregeln
Recognition using iris patterns of the eye are classified in group G06V 40/18. If the technical aspects of a document cover aspects relevant both for face recognition and iris recognition, both aspects are classified in groups G06V 40/16 and G06V 40/18.
Techniques for spoof detection of faces, e.g. spoof-by-picture, are classified in groups G06V 40/16 and G06V 40/40.
Glossar
G06V 40/18
Definition Statement
This place covers:Acquisition, pre-processing, feature extraction, clustering, classification of eye regions or eye components (e.g. iris, pupil, eyelids, eyelashes, sclera) for:
- Biometric identification and authentication by eye characteristics, e.g. iris recognition;
- Recognition of eye movements (e.g. fixation, saccade, smooth pursuit) and detection of eye blink;
- Eye tracking, gaze estimation and correction, by acquiring the image of the eye or in combination with the analysis of the scene (e.g. using saliency models) for biometric purposes. The techniques involved may use specialised hardware, such as head-mounted systems, infrared or visible light, or may use computer vision methods, such as modelling eye and scene geometry, appearance-based methods, etc.;
- Red eye detection due to image acquisition using a camera flash;
- Monitoring attention-based eye movements, e.g. for measuring the time spent when looking at products for advertisements purposes;
- Detecting and monitoring the eye open and eye closed states, e.g. for monitoring driver fatigue.
Examples
Iris recognition
Patterns of the eye are extracted and used for personal identification.
The IrisCode (a binary sequence which characterises the texture of the iris) may be used for personal identification.
Acquisition of the eye using a dual system based on a low resolution acquisition to detect the face and high resolution camera to detect the iris.
Detection of the iris region using the variations of the image grey levels along a crossing line.
Geometrical representation of different eye components.
Eye detection using a neural network.
References
Informative references
| Computing image salient features for recognition purposes | G06V 10/46 |
| Recognition or understanding of scenes inside of a vehicle | G06V 20/59 |
| Recognition of human or animal bodies within images or video, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands | G06V 40/10 |
| Recognition of fingerprints or palmprints in images or video | G06V 40/12 |
| Recognition of human faces in images or video, e.g. facial parts, sketches or expressions | G06V 40/16 |
| Apparatus for testing the eyes; Instruments for examining the eyes | A61B 3/00 |
| Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements | G06F 3/00 |
| Image analysis for determining position or orientation of objects or cameras | G06T 7/70 |
| Scanning, transmission or reproduction of documents or the like; Colour correction or control; Red eye correction | H04N 1/62 |
Special rules of classification
Recognition using iris patterns of the eye are classified in group G06V 40/18. If the technical aspects of a document cover aspects relevant both for face recognition and iris recognition, both aspects are classified in groups G06V 40/16 and G06V 40/18.
Techniques for spoof detection of faces, e.g. spoof-by-picture, are classified in groups G06V 40/16 and G06V 40/40.