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Cascaded hierarchical CNN for 2D hand pose estimation from a single color image

Cascaded hierarchical CNN for 2D hand pose estimation from a single color image

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2682985365

Cascaded hierarchical CNN for 2D hand pose estimation from a single color image

About this item

Full title

Cascaded hierarchical CNN for 2D hand pose estimation from a single color image

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2022-07, Vol.81 (18), p.25745-25763

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

Due to severe articulation, self-occlusion, various scales, and high dexterity of the hand, hand pose estimation is more challenging than body pose estimation. Recently-developed body pose estimation algorithms are not suitable for addressing the unique challenges of hand pose estimation because they are trained without explicitly modeling structur...

Alternative Titles

Full title

Cascaded hierarchical CNN for 2D hand pose estimation from a single color image

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2682985365

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2682985365

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-022-12780-9

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