Multi-modal 3D Human Pose Estimation for Human-Robot Collaborative Applications

Konstantinos Peppas, Konstantinos Tsiolis, Ioannis Mariolis, Angeliki Topalidou-Kyniazopoulou, Dimitrios Tzovaras. Multi-modal 3D Human Pose Estimation for Human-Robot Collaborative Applications. In Andrea Torsello, Luca Rossi 0004, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly, editors, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings. Volume 12644 of Lecture Notes in Computer Science, pages 355-364, Springer, 2020. [doi]

@inproceedings{PeppasTMTT20,
  title = {Multi-modal 3D Human Pose Estimation for Human-Robot Collaborative Applications},
  author = {Konstantinos Peppas and Konstantinos Tsiolis and Ioannis Mariolis and Angeliki Topalidou-Kyniazopoulou and Dimitrios Tzovaras},
  year = {2020},
  doi = {10.1007/978-3-030-73973-7_34},
  url = {https://doi.org/10.1007/978-3-030-73973-7_34},
  researchr = {https://researchr.org/publication/PeppasTMTT20},
  cites = {0},
  citedby = {0},
  pages = {355-364},
  booktitle = {Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings},
  editor = {Andrea Torsello and Luca Rossi 0004 and Marcello Pelillo and Battista Biggio and Antonio Robles-Kelly},
  volume = {12644},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-73973-7},
}