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Weinzaepfel et al., 2015 - Google Patents

Learning to detect motion boundaries

Weinzaepfel et al., 2015

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Document ID
17960846341562967845
Author
Weinzaepfel P
Revaud J
Harchaoui Z
Schmid C
Publication year
Publication venue
Proceedings of the IEEE conference on computer vision and pattern recognition

External Links

Snippet

We propose a learning-based approach for motion boundary detection. Precise localization of motion boundaries is essential for the success of optical flow estimation, as motion boundaries correspond to discontinuities of the optical flow field. The proposed approach …
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Classifications

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    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06T2207/30196Human being; Person
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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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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