Abstract | ||
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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. |
Year | DOI | Venue |
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2018 | 10.1109/SSCI.2018.8628776 | 2018 IEEE Symposium Series on Computational Intelligence (SSCI) |
Keywords | Field | DocType |
Feature Extraction,Image Comparison,Pose searching,Human Pose Detection,multimedia database | Motion capture,Computational intelligence,Computer science,Mobile device,Animation,Database | Conference |
ISBN | Citations | PageRank |
978-1-5386-9277-6 | 0 | 0.34 |
References | Authors | |
4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dylan Blok | 1 | 0 | 0.34 |
Jacob Pettigrew | 2 | 0 | 0.34 |
thecla schiphorst | 3 | 367 | 59.16 |
Herbert H. Tsang | 4 | 92 | 19.08 |