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pro vyhledávání: '"Konstantinos Derpanis"'
Autor:
Karl Schmeckpeper, Philip Osteen, Yufu Wang, Georgios Pavlakos, Kenneth Chaney, Wyatt Jordan, Xiaowei Zhou, Konstantinos Derpanis, Kostas Daniilidis
This paper presents an approach to estimating the continuous 6-DoF pose of an object from a single RGB image. The approach combines semantic keypoints predicted by a convolutional network (convnet) with a deformable shape model. Unlike prior investig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7da34f1844d83adea56a71ddd835a885