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G06V 10/00
|
Arrangements for image or video recognition or understanding |
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G06V 10/10
|
Image acquisition |
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G06V 10/12
|
Details of acquisition arrangementsConstructional 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 patternLocating 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 fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection 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 patternMorphological operationsSkeletonisation |
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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 pointNon-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 intersectionsConnectivity 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
|
Extraction of image or video features by performing operations within image blocksExtraction of image or video features by using histograms, e.g. histogram of oriented gradients [HoG]Extraction of image or video features by summing image-intensity valuesProjection 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
|
Extraction of image or video features relating to texture |
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G06V 10/56
|
Extraction of image or video features relating to colour |
|
G06V 10/58
|
Extraction of image or video features relating to hyperspectral data |
|
G06V 10/60
|
Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model |
|
G06V 10/62
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Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extractionPattern 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 |
|
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 matchingProximity measures in feature spaces |
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G06V 10/75
|
Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries |
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G06V 10/77
|
Processing image or video features in feature spacesArrangements 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
|
Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks |
|
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
|
Arrangements for image or video recognition or understanding using pattern recognition or machine learning using syntactic or structural representations of the image or video pattern, e.g. symbolic string recognitionArrangements 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 |
|
G06V 10/96
|
Management of image or video recognition tasks |
|
G06V 10/98
|
Detection or correction of errors, e.g. by rescanning the pattern or by human interventionEvaluation of the quality of the acquired patterns |
|
G06V 10/141
|
Control of illumination |
|
G06V 10/143
|
Sensing or illuminating at different wavelengths |
|
G06V 10/145
|
Illumination specially adapted for pattern recognition, e.g. using gratings |
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G06V 10/147
|
Details of sensors, e.g. sensor lenses |
|
G06V 10/422
|
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 patternsGenerating dictionaries |
|
G06V 10/774
|
Generating sets of training patternsBootstrap methods, e.g. bagging or boosting |
|
G06V 10/776
|
ValidationPerformance evaluation |
|
G06V 10/778
|
Active pattern-learning, e.g. online learning of image or video features |
|
G06V 20/00
|
ScenesScene-specific elements |
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G06V 20/05
|
Underwater scenes |
|
G06V 20/10
|
Terrestrial scenes |
|
G06V 20/13
|
Satellite images |
|
G06V 20/17
|
Terrestrial scenes taken from planes or by drones |
|
G06V 20/20
|
ScenesScene-specific elements in augmented reality scenes |
|
G06V 20/30
|
ScenesScene-specific elements in albums, collections or shared content, e.g. social network photos or video |
|
G06V 20/40
|
ScenesScene-specific elements in video content |
|
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 |
|
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 pedestriansRecognition 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
|
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 recognitionRecognising digital inkDocument-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 instrumentsConstructional details of the instruments |
|
G06V 30/144
|
Image acquisition using a slot moved over the imageImage acquisition using discrete sensing elements at predetermined pointsImage 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 patternSkeletonisation |
|
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
|
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 recognitionSelection of dictionaries |
|
G06V 30/244
|
Division of the character sequences into groups prior to recognitionSelection of dictionaries using graphical properties, e.g. alphabet type or font |
|
G06V 30/246
|
Division of the character sequences into groups prior to recognitionSelection 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 treeBlock segmentation, e.g. bounding boxes for graphics or text |
|
G06V 30/416
|
Extracting the logical structure, e.g. chapters, sections or page numbersIdentifying elements of the document, e.g. authors |
|
G06V 30/418
|
Document matching, e.g. of document images |
|
G06V 30/422
|
Technical drawingsGeographical 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 pedestriansBody 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 recognitionReading 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 |
