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Rotar et al., 2018 - Google Patents

Face recognition in automotive applications

Rotar et al., 2018

Document ID
14052348268970017018
Author
Rotar D
Andreescu H
Publication year
Publication venue
2018 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

External Links

Snippet

Already available Advanced driver-assistance systems technologies, like lane departure, cruse control, blind spot detection, etc. are constructing a model of the external environment, helping to increase the security in traffic. With the advance of the autonomous driving, the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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    • G06K9/00288Classification, e.g. identification
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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