Mapping and Localization from Planar Markers (2016-06-01T00:00:00.000000Z)

TL;DR

This paper proposes a novel method to simultaneously solve the problems of mapping and localization from a set of squared planar markers and shows that the method performs better than Structure from Motion and visual SLAM techniques.

Authors

M. Marín-Jiménez

4 papers

R. Muñoz-Salinas

1 papers

E. Yeguas-Bolivar

1 papers

R. Carnicer

1 papers

TL;DR

Authors

References67 items

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[ University (Spain), in 2003 and Ph.D. degree from Granada University (Spain)

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Figure 9: Results obtained for the Seventh test. Marker poses of Room 1 are reconstructed using only 9 images of the environment

His research interests include object detection, human-centric video understanding and machine learning

MSc and PhD degrees from the University of Granada, Spain. He has worked, as a visiting student, at the Computer Vision Center of Barcelona (Spain)

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