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handle: 2117/133121
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.
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
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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