Automatic and Fast Extraction of 3D Hand Measurements using a Deep Neural Network
Author:
Affiliation:
1. Vrije Universiteit Brussel,Department of Electronics and Informatics,Brussels,Belgium
2. Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania
Funder
Innoviris
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9806445/9806446/09806686.pdf?arnumber=9806686
Reference22 articles.
1. Fits Like a Glove: Rapid and Reliable Hand Shape Personalization
2. Impact of postural variation on hand measurements: Three-dimensional anatomical analysis
3. Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps
4. A joint localizer for finger length measurements
5. Comparison of 3D Photogrammetric and Laser Hand Scans to Manual Measurement Methods for EVA Glove Fabrication
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2. Measure4dhand: Dynamic Hand Measurement Extraction from 4D Scans;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
3. A Deep-Learning-Based Approach to Automatically Measuring Foots From a 3D Scan;2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE);2022-12-18
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