Véges, Márton and Varga, Viktor: Monocular estimation of 3D poses from a distance. In: Conference of PhD Students in Computer Science, (11). pp. 114-117. (2018)
|
Cikk, tanulmány, mű
cscs_2018_127-130.pdf Download (172kB) | Preview |
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: | Article |
---|---|
Journal or Publication Title: | Conference of PhD Students in Computer Science |
Date: | 2018 |
Volume: | 11 |
Page Range: | pp. 114-117 |
Event Title: | Conference of PhD students in computer science (11.) (2018) (Szeged) |
Uncontrolled Keywords: | Számítástechnika |
Additional Information: | Bibliogr.: p. 116-117. ; összefoglalás angol nyelven |
Date Deposited: | 2019. Nov. 04. 12:53 |
Last Modified: | 2019. Nov. 04. 12:53 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/61780 |
Actions (login required)
![]() |
View Item |