Varga, Viktor and Véges, Márton: Exploiting temporal context in 2d to 3d human pose regression. In: Conference of PhD Students in Computer Science, (11). pp. 169-172. (2018)
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Abstract
A major drawback of end-to-end image to 3d pose estimation approaches is the abscence of rich, in-the-wild image datasets with 3d human pose annotation. In this paper we show, that splitting the task and solving the subproblems of image based 2d pose estimation and 2d-to-3d coordinate regression independently is a viable approach. What is more, we present a lightweight deep learning based model to perform 2d-to-3d human body pose regression that is able to exploit temporal information and thus improve the state of the art.
| Item Type: | Article |
|---|---|
| Journal or Publication Title: | Conference of PhD Students in Computer Science |
| Date: | 2018 |
| Volume: | 11 |
| Page Range: | pp. 169-172 |
| Event Title: | Conference of PhD students in computer science (11.) (2018) (Szeged) |
| Uncontrolled Keywords: | Számítástechnika |
| Additional Information: | Bibliogr.: p. 171-172. ; összefoglalás angol nyelven |
| Date Deposited: | 2019. Nov. 04. 14:40 |
| Last Modified: | 2019. Nov. 04. 14:40 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/61795 |
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