Véges Márton and Varga Viktor: Monocular estimation of 3D poses from a distance.
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Abstract
Most 3D pose estimators only estimate egocentric coordinates where the body is centred at the origin. This is suitable for scenes with a single person but for images with interacting persons it is insufficient. We propose a monocular depth estimator for telephoto lenses to estimate 3D coordinates centred at the camera. Our method fuses a depth map predictor and a relative 3D pose estimator by means of a 3-layer neural network. We compare the algorithm with the state-of-the-art method and show a 19% improvement.
| Item Type: | Conference or Workshop Item |
|---|---|
| Journal or Publication Title: | Conference of PhD Students in Computer Science |
| Date: | 2018 |
| Volume: | 11 |
| Page Range: | pp. 114-117 |
| Language: | English |
| Event Title: | Conference of PhD students in computer science (11.) (2018) (Szeged) |
| Related URLs: | http://acta.bibl.u-szeged.hu/59477/ |
| Uncontrolled Keywords: | Számítástechnika |
| Additional Information: | Bibliogr.: p. 116-117. ; összefoglalás angol nyelven |
| Date Deposited: | 2019. Nov. 04. 12:53 |
| Last Modified: | 2026. Feb. 24. 08:10 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/61780 |
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