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Paper · arXiv

HandAnthro: Automated Hand Anthropometry from a Single Image

Hand anthropometry supports protective-glove design, but existing measurement methods often require trained operators, specialized hardware, or manual landmarking. We present HandAnthro, which estimates 44 projected hand dimensions from a smartphone photograph of a palm-up hand on US letter-size paper. The pipeline reconstructs wrist-occluded paper boundaries for rectification, whitens non-hand pixels, and refines 41 anthropometry-specific landmarks from a fine-tuned You Only Look Once (YOLO) pose model using image-specific geometry and contours. Controlled evaluation comprised 720 captures from 45 held-out participants, each contributing 16 images across two smartphones, two backgrounds,...

AuthorsFan Zhou, Shuairan Chen, Mengying Zhang et al.
Primary categorycs.CV
Published29 September 2026
Last updated at source29 September 2026
cs.CVcs.AI
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