ChromaTag: A Colored Marker and Fast Detection Algorithm

@article{DeGol2017ChromaTagAC,
  title={ChromaTag: A Colored Marker and Fast Detection Algorithm},
  author={Joseph DeGol and Timothy Bretl and Derek Hoiem},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={1481-1490}
}
Current fiducial marker detection algorithms rely on marker IDs for false positive rejection. [] Key Result Our contribution is significant because fiducial markers are often used in real-time applications (e.g. marker assisted robot navigation) where heavy computation is required by other parts of the system.
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39 Citations
Highly Influential Citations
4
Background Citations
22
Methods Citations
7

39 Citations

LiDARTag: A Real-Time Fiducial Tag using Point Clouds
TLDR
The experimental results confirm the proposed technique can reliably provide a tag's pose and its unique ID code, and nicely complements available visual fiducial markers as the tag design is compatible with available techniques, allowing for efficient multi-sensor fusion and calibration tasks.
Smart Artificial Markers for Accurate Visual Mapping and Localization
TLDR
The approach decreases the Relative Positioning Error (RPE) by 85% in the mapping stage and Absolute Trajectory Error (ATE) by 50% for the camera localization stage in comparison with the state-of-the-art methods present in the literature.
Efficient and Robust Circle Grids for Fiducial Detection
TLDR
A new marker coding system design based on 3 × 3 grids of individual circles based on a novel way of composing individual fiducial tags into larger grids that enables the use of larger markers without adapting the detection pipeline, resulting in additional occlusion resistance and error detection.
LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
TLDR
LiDARTag, a novel fiducial tag design and detection algorithm suitable for light detection and ranging (LiDAR) point clouds, is introduced and it is confirmed that the proposed method can reliably provide a tag's pose and unique ID code.
Improved Structure from Motion Using Fiducial Marker Matching
In this paper, we present an incremental structure from motion (SfM) algorithm that significantly outperforms existing algorithms when fiducial markers are present in the scene, and that matches the…
ArUcoRSV: Robot Localisation Using Artificial Marker
TLDR
ArUcoRSV applies an automated perspective using marker detection, refining rejected marker and pose estimation, and produces accurate marker detection for robot identification and achieves significant improvements in detection rate with high positional accuracy.
DeepTag: A General Framework for Fiducial Marker Design and Detection
TLDR
A general deep learning based framework, DeepTag, for ducial marker design and detection and an effective procedure to synthesize training data on the y without manual annotations is proposed, which can easily adapt to existing and newly-designed marker families.
STag: A Stable Fiducial Marker System
TopoTag: A Robust and Scalable Topological Fiducial Marker System
TLDR
Experiments on the dataset and real indoor and outdoor scene tests with a rolling shutter camera both show that TopoTag significantly outperforms previous fiducial marker systems in terms of various metrics, including detection accuracy, vertex jitter, pose jitter and accuracy.
Experimental Comparison of Fiducial Markers for Pose Estimation
TLDR
This paper presents an experimental comparison of four different open-source fiducial markers that are widely used in UAS applications (ARTag, AprilTag, ArUco, and STag) based on their localization capabilities as well as their computational efficiency.
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References

SHOWING 1-10 OF 36 REFERENCES
AprilTag 2: Efficient and robust fiducial detection
  • John Wang, E. Olson
  • Computer Science
    2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2016
TLDR
This work describes AprilTag 2, a completely redesigned tag detector that improves robustness and efficiency compared to the original AprilTag system, and improves performance with higher detection rates, fewer false positives, and lower computational time.
Automatic generation and detection of highly reliable fiducial markers under occlusion
ARTag, a fiducial marker system using digital techniques
  • M. Fiala
  • Computer Science
    2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
  • 2005
TLDR
This proposed new marker system, ARTag has very low and numerically quantifiable error rates, does not require a grey scale threshold as does other marker systems, and can encode up to 2002 different unique ID's with no need to store patterns.
Comparing ARTag and ARToolkit Plus fiducial marker systems
  • M. Fiala
  • Computer Science
    IEEE International Workshop on Haptic Audio Visual Environments and their Applications
  • 2005
TLDR
This paper compares the two recently developed systems ARTag and ARToolkit Plus on their reliability, detection rates, and immunity to lighting and occlusion.
On the Design and Evaluation of a Precise Scalable Fiducial Marker Framework
TLDR
This paper provides precise and robust full 3D pose estimation of the markers with superior accuracy when compared with many fiducial systems, while color information is used to provide more than \n{65000} distinct markers.
Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions
TLDR
A robust, highly accurate fiducial system, whose markers consist of concentric rings, along with its theoretical foundations is presented, which allows to robustly localize the imaged marker and to accurately detect the position of the image of the (common) circle center.
CALTag: High Precision Fiducial Markers for Camera Calibration
TLDR
A self-identifying marker pattern is presented for camera calibration, designed to support high-precision, fully-automatic localization of calibration points, as well as identification of individual markers in the presence of significant occlusions, uneven illumination, and observations under extremely acute angles.
Maximum Detector Response Markers for SIFT and SURF
In this paper, we introduce optimal markers to be used with the SIFT and SURF feature detectors. They can be applied to trigger the detection of feature points at desired locations. Unlike…
Reliable Automatic Calibration of a Marker-Based Position Tracking System
  • D. Claus, A. Fitzgibbon
  • Computer Science
    2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1
  • 2005
TLDR
An accurate vision-based position tracking system which is significantly more robust and reliable over a wide range of environments than existing approaches and nonlinear optimization of the camera position during tracking gives accuracy comparable with full bundle adjustment but at significantly reduced cost.
Camera tracking using concentric circle markers: Paradigms and algorithms
TLDR
This work proposes the general paradigm of camera tracking based on a planar marker consisting of at least two C2Tags and introduces the following missing steps required to deal with long video sequences under time constraints: key-frame selection, bundle adjustment and intermediate pose refinement.
...
...