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Chen et al., 2022 - Google Patents

SkeletonPose: Exploiting human skeleton constraint for 3D human pose estimation

Chen et al., 2022

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Document ID
12008903911114639915
Author
Chen S
Xu Y
Pu Z
Ouyang J
Zou B
Publication year
Publication venue
Knowledge-Based Systems

External Links

Snippet

We present SkeletonPose, a novel method to improve the accuracy of 3D human pose estimation via human skeleton constraints. In contrast to other state-of-the-art 3D pose estimation approaches, which use deep convolutional networks to regress the human pose …
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Classifications

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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00288—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
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    • G06T2207/30196—Human being; Person
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
    • G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
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    • G06—COMPUTING; CALCULATING; COUNTING
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