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G06V 10/00
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Arrangements for image or video recognition or understanding |
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G06V 10/10
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Image acquisition |
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G06V 10/12
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Image acquisition - Details of acquisition arrangements; Constructional details thereof |
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G06V 10/14
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Optical characteristics of the device performing the acquisition or on the illumination arrangements |
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G06V 10/20
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Image preprocessing |
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G06V 10/22
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Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition |
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G06V 10/24
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Aligning, centring, orientation detection or correction of the image |
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G06V 10/25
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Determination of region of interest [ROI] or a volume of interest [VOI] |
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G06V 10/26
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Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion |
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G06V 10/28
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Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns |
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G06V 10/30
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Noise filtering |
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G06V 10/32
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Normalisation of the pattern dimensions |
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G06V 10/34
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Smoothing or thinning of the pattern; Morphological operations; Skeletonisation |
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G06V 10/36
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Applying a local operator, i.e. means to operate on image points situated in the vicinity of a given point; Non-linear local filtering operations, e.g. median filtering |
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G06V 10/40
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Extraction of image or video features |
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G06V 10/42
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Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation |
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G06V 10/44
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Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components |
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G06V 10/46
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Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features |
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G06V 10/48
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Extraction of image or video features by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation |
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G06V 10/50
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Extraction of image or video features by summing image-intensity values; Projection analysis |
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G06V 10/52
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Scale-space analysis, e.g. wavelet analysis |
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G06V 10/54
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Extraction of image or video features relating to texture |
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G06V 10/56
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Extraction of image or video features relating to colour |
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G06V 10/58
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Extraction of image or video features relating to hyperspectral data |
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G06V 10/60
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Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model |
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G06V 10/62
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Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking |
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G06V 10/70
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Arrangements for image or video recognition or understanding using pattern recognition or machine learning |
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G06V 10/72
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Data preparation, e.g. statistical preprocessing of image or video features |
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G06V 10/74
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Image or video pattern matching; Proximity measures in feature spaces |
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G06V 10/75
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Image or video pattern matching; Proximity measures in feature spaces using context analysis; Selection of dictionaries |
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G06V 10/77
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Arrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation |
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G06V 10/80
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Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level |
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G06V 10/82
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Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks |
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G06V 10/84
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Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks |
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G06V 10/86
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Arrangements for image or video recognition or understanding using pattern recognition or machine learning using graph matching |
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G06V 10/88
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Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters |
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G06V 10/94
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Hardware or software architectures specially adapted for image or video understanding |
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G06V 10/96
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Management of image or video recognition tasks |
|
G06V 10/98
|
Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns |
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G06V 10/141
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Control of illumination |
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G06V 10/143
|
Sensing or illuminating at different wavelengths |
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G06V 10/145
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Illumination specially adapted for pattern recognition, e.g. using gratings |
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G06V 10/147
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Optical characteristics of the device performing the acquisition or on the illumination arrangements - Details of sensors, e.g. sensor lenses |
|
G06V 10/422
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Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation for representing the structure of the pattern or shape of an object therefor |
|
G06V 10/424
|
Syntactic representation, e.g. by using alphabets or grammars |
|
G06V 10/426
|
Graphical representations |
|
G06V 10/762
|
Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks |
|
G06V 10/764
|
Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects |
|
G06V 10/766
|
Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes |
|
G06V 10/771
|
Feature selection, e.g. selecting representative features from a multi-dimensional feature space |
|
G06V 10/772
|
Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries |
|
G06V 10/774
|
Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting |
|
G06V 10/776
|
Validation; Performance evaluation |
|
G06V 10/778
|
Active pattern-learning, e.g. online learning of image or video features |
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G06V 20/00
|
Scenes; Scene-specific elements |
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G06V 20/05
|
Underwater scenes |
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G06V 20/10
|
Terrestrial scenes |
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G06V 20/13
|
Satellite images |
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G06V 20/17
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Terrestrial scenes taken from planes or by drones |
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G06V 20/20
|
Scenes; Scene-specific elements in augmented reality scenes |
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G06V 20/30
|
Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video |
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G06V 20/40
|
Scenes; Scene-specific elements in video content |
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G06V 20/50
|
Context or environment of the image |
|
G06V 20/52
|
Surveillance or monitoring of activities, e.g. for recognising suspicious objects |
|
G06V 20/54
|
Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats |
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G06V 20/56
|
Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle |
|
G06V 20/58
|
Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads |
|
G06V 20/59
|
Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions |
|
G06V 20/60
|
Type of objects |
|
G06V 20/62
|
Text, e.g. of license plates, overlay texts or captions on TV images |
|
G06V 20/64
|
Three-dimensional objects |
|
G06V 20/66
|
Trinkets, e.g. shirt buttons or jewellery items |
|
G06V 20/68
|
Food, e.g. fruit or vegetables |
|
G06V 20/69
|
Microscopic objects, e.g. biological cells or cellular parts |
|
G06V 20/70
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Labelling scene content, e.g. deriving syntactic or semantic representations |
|
G06V 20/80
|
Recognising image objects characterised by unique random patterns |
|
G06V 20/90
|
Identifying an image sensor based on its output data |
|
G06V 30/00
|
Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition |
|
G06V 30/10
|
Character recognition |
|
G06V 30/12
|
Detection or correction of errors, e.g. by rescanning the pattern |
|
G06V 30/14
|
Image acquisition |
|
G06V 30/16
|
Image preprocessing |
|
G06V 30/18
|
Extraction of features or characteristics of the image |
|
G06V 30/19
|
Recognition using electronic means |
|
G06V 30/20
|
Combination of acquisition, preprocessing or recognition functions |
|
G06V 30/22
|
Character recognition characterised by the type of writing |
|
G06V 30/24
|
Character recognition characterised by the processing or recognition method |
|
G06V 30/26
|
Techniques for post-processing, e.g. correcting the recognition result |
|
G06V 30/28
|
Character recognition specially adapted to the type of the alphabet, e.g. Latin alphabet |
|
G06V 30/30
|
Character recognition based on the type of data |
|
G06V 30/32
|
Digital ink |
|
G06V 30/40
|
Document-oriented image-based pattern recognition |
|
G06V 30/41
|
Analysis of document content |
|
G06V 30/42
|
Document-oriented image-based pattern recognition based on the type of document |
|
G06V 30/142
|
Image acquisition using hand-held instruments; Constructional details of the instruments |
|
G06V 30/144
|
Image acquisition using automatic curve following means |
|
G06V 30/146
|
Aligning or centering of the image pick-up or image-field |
|
G06V 30/148
|
Segmentation of character regions |
|
G06V 30/162
|
Quantising the image signal |
|
G06V 30/164
|
Noise filtering |
|
G06V 30/166
|
Normalisation of pattern dimensions |
|
G06V 30/168
|
Smoothing or thinning of the pattern; Skeletonisation |
|
G06V 30/182
|
Extraction of features or characteristics of the image by coding the contour of the pattern |
|
G06V 30/184
|
Extraction of features or characteristics of the image by analysing segments intersecting the pattern |
|
G06V 30/186
|
Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image |
|
G06V 30/192
|
Recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references |
|
G06V 30/194
|
References adjustable by an adaptive method, e.g. learning |
|
G06V 30/196
|
Recognition using electronic means using sequential comparisons of the image signals with a plurality of references |
|
G06V 30/198
|
Recognition using electronic means using sequential comparisons of the image signals with a plurality of references the selection of the next reference depending on the result of the preceding comparison |
|
G06V 30/199
|
Arrangements for recognition using optical reference masks, e.g. holographic masks |
|
G06V 30/222
|
Character recognition characterised by the type of writing of characters separated by spaces |
|
G06V 30/224
|
Character recognition characterised by the type of writing of printed characters having additional code marks or containing code marks |
|
G06V 30/226
|
Character recognition characterised by the type of writing of cursive writing |
|
G06V 30/228
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Character recognition characterised by the type of writing of three-dimensional handwriting, e.g. writing in the air |
|
G06V 30/242
|
Division of the character sequences into groups prior to recognition; Selection of dictionaries |
|
G06V 30/244
|
Division of the character sequences into groups prior to recognition; Selection of dictionaries using graphical properties, e.g. alphabet type or font |
|
G06V 30/246
|
Division of the character sequences into groups prior to recognition; Selection of dictionaries using linguistic properties, e.g. specific for English or German language |
|
G06V 30/262
|
Techniques for post-processing, e.g. correcting the recognition result using context analysis, e.g. lexical, syntactic or semantic context |
|
G06V 30/302
|
Images containing characters for discriminating human versus automated computer access |
|
G06V 30/304
|
Music notations |
|
G06V 30/412
|
Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables |
|
G06V 30/413
|
Classification of content, e.g. text, photographs or tables |
|
G06V 30/414
|
Extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics or text |
|
G06V 30/416
|
Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors |
|
G06V 30/418
|
Document matching, e.g. of document images |
|
G06V 30/422
|
Technical drawings; Geographical maps |
|
G06V 30/424
|
Postal images, e.g. labels or addresses on parcels or postal envelopes |
|
G06V 40/00
|
Recognition of biometric, human-related or animal-related patterns in image or video data |
|
G06V 40/10
|
Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands |
|
G06V 40/12
|
Fingerprints or palmprints |
|
G06V 40/13
|
Sensors therefor |
|
G06V 40/14
|
Vascular patterns |
|
G06V 40/16
|
Human faces, e.g. facial parts, sketches or expressions |
|
G06V 40/18
|
Eye characteristics, e.g. of the iris |
|
G06V 40/19
|
Sensors therefor |
|
G06V 40/20
|
Movements or behaviour, e.g. gesture recognition |
|
G06V 40/30
|
Writer recognition; Reading and verifying signatures |
|
G06V 40/40
|
Spoof detection, e.g. liveness detection |
|
G06V 40/50
|
Maintenance of biometric data or enrolment thereof |
|
G06V 40/60
|
Static or dynamic means for assisting the user to position a body part for biometric acquisition |
|
G06V 40/70
|
Multimodal biometrics, e.g. combining information from different biometric modalities |
|
G06V 40/145
|
Sensors therefor |
