CALVIS: Chest, Waist and Pelvis Circumference from 3D Human Body Meshes as Ground Truth for Deep Learning

Yansel Gonzalez-Tejeda; Helmut A. Mayer

CALVIS: Chest, Waist and Pelvis Circumference from 3D Human Body Meshes as Ground Truth for Deep Learning

Yansel Gonzalez-Tejeda, Helmut A. Mayer

Artificial Intelligence and Human Interfaces

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

Original language	English
Title of host publication	Proceedings of the VIII International Workshop on Representation, analysis and recognition of shape and motion FroM Imaging data (RFMI 2019)
Publisher	ACM
Publication status	Published - 2019

Fields of Science and Technology Classification 2012

102 Computer Sciences

1 Conference contribution

A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes
Tejeda, Y. G. & Mayer, H. A., 5 Dec 2021, IEEE Symposium Series on Computational Intelligence (SSCI).
Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

Cite this

@inproceedings{10667a9e72b34719a6a6b2ed9be06ad5,

title = "CALVIS: Chest, Waist and Pelvis Circumference from 3D Human Body Meshes as Ground Truth for Deep Learning",

keywords = "Human Body Shape, Virtual Anthropometry",

author = "Yansel Gonzalez-Tejeda and Mayer, {Helmut A.}",

year = "2019",

language = "English",

booktitle = "Proceedings of the VIII International Workshop on Representation, analysis and recognition of shape and motion FroM Imaging data (RFMI 2019)",

publisher = "ACM",

}

CALVIS: Chest, Waist and Pelvis Circumference from 3D Human Body Meshes as Ground Truth for Deep Learning. / Gonzalez-Tejeda, Yansel; Mayer, Helmut A.
Proceedings of the VIII International Workshop on Representation, analysis and recognition of shape and motion FroM Imaging data (RFMI 2019). ACM, 2019.

Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review

TY - GEN

T1 - CALVIS: Chest, Waist and Pelvis Circumference from 3D Human Body Meshes as Ground Truth for Deep Learning

AU - Gonzalez-Tejeda, Yansel

AU - Mayer, Helmut A.

PY - 2019

Y1 - 2019

KW - Human Body Shape

KW - Virtual Anthropometry

M3 - Conference contribution

BT - Proceedings of the VIII International Workshop on Representation, analysis and recognition of shape and motion FroM Imaging data (RFMI 2019)

PB - ACM

ER -

CALVIS: Chest, Waist and Pelvis Circumference from 3D Human Body Meshes as Ground Truth for Deep Learning

Fields of Science and Technology Classification 2012

Research output

A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes

Cite this