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Wang et al., 2018 - Google Patents

Region ensemble network: Towards good practices for deep 3D hand pose estimation

Wang et al., 2018

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Document ID
6165185365042138231
Author
Wang G
Chen X
Guo H
Zhang C
Publication year
Publication venue
Journal of Visual Communication and Image Representation

External Links

Snippet

Abstract 3D hand pose estimation is an important and challenging problem for human- computer interaction. Recently convolutional networks (ConvNet) with sophisticated design have been employed to address it, but the improvement is not so significant. To exploit good …
Continue reading at image.ee.tsinghua.edu.cn (PDF) (other versions)

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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
    • G06K9/00268—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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    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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