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Multimodal Point Distribution Model for Anthropological Landmark Detection

Abstract: 

While current landmark detection algorithms offer a good approximation of the landmark locations, they are often unsuitable for the use in biological research. We present multimodal landmark detection approach, based on Point distribution model that detects a larger number of anthropologically relevant landmarks than the current landmark detection algorithms.
At the same time we show that improving detection accuracy of initial vertices, using image information, to which
the Point distribution model is fitted, increases both the overall accuracy and the stability of the detected landmarks.

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Paper Details

Authors:
Petr Matula
Submitted On:
19 September 2019 - 6:14am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Zuzana Ferkova
Document Year:
2019
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Document Files

ICIP_poster.pdf

(19)

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[1] Petr Matula, "Multimodal Point Distribution Model for Anthropological Landmark Detection", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4720. Accessed: Oct. 18, 2019.
@article{4720-19,
url = {http://sigport.org/4720},
author = {Petr Matula },
publisher = {IEEE SigPort},
title = {Multimodal Point Distribution Model for Anthropological Landmark Detection},
year = {2019} }
TY - EJOUR
T1 - Multimodal Point Distribution Model for Anthropological Landmark Detection
AU - Petr Matula
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4720
ER -
Petr Matula. (2019). Multimodal Point Distribution Model for Anthropological Landmark Detection. IEEE SigPort. http://sigport.org/4720
Petr Matula, 2019. Multimodal Point Distribution Model for Anthropological Landmark Detection. Available at: http://sigport.org/4720.
Petr Matula. (2019). "Multimodal Point Distribution Model for Anthropological Landmark Detection." Web.
1. Petr Matula. Multimodal Point Distribution Model for Anthropological Landmark Detection [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4720