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3D hand reconstruction from RGB-D/RGB video frames in real-time

Authors: Toda Mas, Aleix;

3D hand reconstruction from RGB-D/RGB video frames in real-time

Abstract

We present a pipeline able to extract 3D real-world measurements from RGB-D images with high accuracy in real-time. A new method bottom-up multi-person for hand-body pose detection evolved from OpenPifPaf has been presented. Two novel training strategies using multiple datasets are presented.

Country
Spain
Keywords

Artificial intelligence, real-time, multi-person hand pose, openpose, bottom-up hand pose, body pose, depth images, :Informàtica [Àrees temàtiques de la UPC], Machine learning, Aprenentatge automàtic, context understanding, point cloud library, background subtraction, 3d reconstruction, 3d measurement, multi-person pose, hand pose, openpifpaf, Intel·ligència artificial, finger width measurement, Visió per ordinador, RGB-D, Video recording, Computer vision, ring size, Vídeo, Àrees temàtiques de la UPC::Informàtica, point cloud

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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