Abstract:
With the proliferation of mobile devices, the world is saturated with data captured from these multi-sensor devices. Motion capture data is most commonly used for human f...Show MoreMetadata
Abstract:
With the proliferation of mobile devices, the world is saturated with data captured from these multi-sensor devices. Motion capture data is most commonly used for human figure animation. These data not only help us to create more realistic animation, but they also have been used for artistic purposes. With these data, we can model 3D animations that correspond to a human model. In this paper, we present a new way of comparing images of a human model in a stance to a database of 3D human figure poses. The results in this paper has shown that the new approach is both fast and accurate.
Date of Conference: 18-21 November 2018
Date Added to IEEE Xplore: 31 January 2019
ISBN Information:
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- IEEE Keywords
- Index Terms
- Human Pose ,
- 3D Database ,
- Human Pose Detection ,
- Human Figure ,
- Neural Network ,
- Comparative Method ,
- Convolutional Neural Network ,
- Artificial Neural Network ,
- Input Image ,
- Rotation Angle ,
- Gaussian Blur ,
- Combination Of Algorithms ,
- Computational Intelligence ,
- Rotation Values ,
- Human Pose Estimation ,
- Computing Paradigm ,
- Correct Pose ,
- Correct Guesses
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Human Pose ,
- 3D Database ,
- Human Pose Detection ,
- Human Figure ,
- Neural Network ,
- Comparative Method ,
- Convolutional Neural Network ,
- Artificial Neural Network ,
- Input Image ,
- Rotation Angle ,
- Gaussian Blur ,
- Combination Of Algorithms ,
- Computational Intelligence ,
- Rotation Values ,
- Human Pose Estimation ,
- Computing Paradigm ,
- Correct Pose ,
- Correct Guesses
- Author Keywords