Markerless tracking using planar structures in the scene

By Gilles Simon, Andrew William Fitzgibbon, Andrew Zisserman. Proceedings IEEE and ACM International Symposium on Augmented Reality (ISAR 2000), 2000

327 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Geology

View Paper: https://www.semanticscholar.org/paper/dd056088c2929a62dc96c3b45d48c2926cf9194c

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In Aerospace Engineering

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In Geology

Citations in the corpus

A Survey of Augmented Reality (2015, background): “This is usually performed o -line before the AR system is in operation, but some AR systems do this on the fly [Simon et al., 2000].”
Real-time markerless tracking for augmented reality: the virtual visual servoing framework (2006, background): “Another class of AR approaches, referred to as calibration-free approaches, uses affine or projective spaces for the integration of virtual objects [30], [48].”
Deep Image Homography Estimation (2016, background): “for augmented reality (as in [16]) could also benefit from HomographyNets trained on image pair examples created from the target system’s sensors and environment.”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, background): “Vision-based tracking is further divided into marker-based [10] and markerless [11] (also called as natural feature tracking) where a “marker” is an image or view of a real-world object that provides a unique pattern.”
Pose Estimation for Augmented Reality: A Hands-On Survey (2016, unknown): “In [122], it has been proposed to restrict the general case to a simple yet common special case: planar scene.”
Going out: robust model-based tracking for outdoor augmented reality (2006, background): “[25] describe a point-based pose tracker that requires no further model and is demonstrated with outdoor scenes.”
Stable real-time 3D tracking using online and offline information (2004, background): “This combination results in a system that does not suffer from any of the above difficulties and can deal with aspect changes and occlusions.”
Parallel Tracking and Mapping for Small AR Workspaces (2007, methodology): “Finally, our implementation of a n AR application which takes place on a planar playing field may in vite a comparison with [25] in which the authors specifically choo se to track and augment a planar structure: It should be noted that w ile the AR game described in this system uses a plane, the foc”