Real-time 3D motion capture by monocular vision and virtual rendering

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Jáuregui, David Antonio Gómez, and Patrick Horain. “Real-Time 3D Motion Capture by Monocular Vision and Virtual Rendering”. Machine Vision and Applications, vol. 28, no. 8, 2017, pp. 839-58, https://doi.org/10.1007/s00138-017-0861-3.
Jáuregui, D. A. G., & Horain, P. (2017). Real-time 3D motion capture by monocular vision and virtual rendering. Machine Vision and Applications, 28(8), 839-858. https://doi.org/10.1007/s00138-017-0861-3
Jáuregui, David Antonio Gómez, and Patrick Horain. “Real-Time 3D Motion Capture by Monocular Vision and Virtual Rendering”. Machine Vision and Applications 28, no. 8 (2017): 839-58. https://doi.org/10.1007/s00138-017-0861-3.
Jáuregui DAG, Horain P. Real-time 3D motion capture by monocular vision and virtual rendering. Machine Vision and Applications. 2017;28(8):839-58.
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Refrences
Title Journal Journal Categories Citations Publication Date
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
6 2016
A recognition-based motion capture baseline on the HumanEva II test data Machine Vision and Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
7 2011
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
105 2010
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion International Journal of Computer Vision
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
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Fast nonparametric belief propagation for real-time stereo articulated body tracking Computer Vision and Image Understanding
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
15 2009
Citations
Title Journal Journal Categories Citations Publication Date
LPI: learn postures for interactions Machine Vision and Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2021
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled LPI: learn postures for interactions and was published in 2021. The most recent citation comes from a 2021 study titled LPI: learn postures for interactions. This article reached its peak citation in 2021, with 1 citations. It has been cited in 1 different journals. Among related journals, the Machine Vision and Applications cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year