Graph Edge Classification for Keypoint Grouping in Multi-person Pose Estimation

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

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Publication Details

Journal
Journal of Image and Graphics
Published
2025-01-01
DOI
https://doi.org/10.18178/joig.13.2.130-139
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Graph Edge Classification for Keypoint Grouping in Multi-person Pose Estimation

M. A. M. Maher
Journal of Image and Graphics
Anomaly Detection Techniques and Applications
article

Graph Edge Classification for Keypoint Grouping in Multi-person Pose Estimation

M. A. M. Maher
article en

Abstract

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Journal of Image and GraphicsVol. 13(2)
Openalex Percentile: Top 98%
Anomaly Detection Techniques and Applications
DOIOpen Access PDFOpenAlex
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Graph Edge Classification for Keypoint Grouping in Multi-person Pose Estimation — M. A. M. Maher · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS