Five Shades of Grey for Fast and Reliable Camera Pose Estimation

Adam Herout, Istvan Szentandrasi, Michal Zacharias, Marketa Dubska, Rudolf Kajan; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp. 1384-1390

Abstract


We introduce here an improved design of the Uniform Marker Fields and an algorithm for their fast and reliable detection. Our concept of the marker field is designed so that it can be detected and recognized for camera pose estimation: in various lighting conditions, under a severe perspective, while heavily occluded, and under a strong motion blur. Our marker field detection harnesses the fact that the edges within the marker field meet at two vanishing points and that the projected planar grid of squares can be defined by a detectable mathematical formalism. The modules of the grid are greyscale and the locations within the marker field are defined by the edges between the modules. The assumption that the marker field is planar allows for a very cheap and reliable camera pose estimation in the captured scene. The detection rates and accuracy are slightly better compared to state-of-the-art marker-based solutions. At the same time, and more importantly, our detector of the marker field is several times faster and the reliable real-time detection can be thus achieved on mobile and low-power devices. We show three targeted applications where the planarity is assured and where the presented marker field design and detection algorithm provide a reliable and extremely fast solution.

Related Material


[pdf]
[bibtex]
@InProceedings{Herout_2013_CVPR,
author = {Herout, Adam and Szentandrasi, Istvan and Zacharias, Michal and Dubska, Marketa and Kajan, Rudolf},
title = {Five Shades of Grey for Fast and Reliable Camera Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2013}
}