7.1.7.9 Fiducial Markers Design, Detection and Analysis

Chapter Contents (Back)
Fiducial Markers.
See also Region of Interest Detection, ROI.
See also Dense Object Detection.

Shih, S.W.[Sheng-Wen], Yu, T.Y.[Tzu-Yi],
On designing an isotropic fiducial mark,
IP(12), No. 9, September 2003, pp. 1054-1066.
IEEE DOI 0308
BibRef

Wiles, A.D., Likholyot, A., Frantz, D.D., Peters, T.M.,
A Statistical Model for Point-Based Target Registration Error With Anisotropic Fiducial Localizer Error,
MedImg(27), No. 3, March 2008, pp. 378-390.
IEEE DOI 0803
BibRef

Wiles, A.D., Peters, T.M.,
Real-Time Estimation of FLE Statistics for 3-D Tracking With Point-Based Registration,
MedImg(28), No. 9, September 2009, pp. 1384-1398.
IEEE DOI 0909
FLE: Fiducial Localizer Error BibRef

Wiles, A.D., Peters, T.M.,
Target Tracking Errors for 5D and 6D Spatial Measurement Systems,
MedImg(29), No. 3, March 2010, pp. 879-894.
IEEE DOI 1003
5D from magnetic tracking system (XYZ, 2 rotations), combine 2 to get 6D. But not as exact as optical methods. BibRef

Hamsici, O.C.[Onur C.], Martinez, A.M.[Aleix M.],
Rotation Invariant Kernels and Their Application to Shape Analysis,
PAMI(31), No. 11, November 2009, pp. 1985-1999.
IEEE DOI 0910
BibRef
And:
Active Appearance Models with Rotation Invariant Kernels,
ICCV09(1003-1009).
IEEE DOI 0909
Normalize shape vectors with respect to their mean and norm.
See also Bayes Optimality in Linear Discriminant Analysis. BibRef

Benitez-Quiroz, C.F., Rivera, S.[Samuel], Gotardo, P.F.U.[Paulo F.U.], Martinez, A.M.[Aleix M.],
Salient and non-salient fiducial detection using a probabilistic graphical model,
PR(47), No. 1, 2014, pp. 208-215.
Elsevier DOI 1310
Shape modeling. Faces, hands, cardiac structures. BibRef

Rivera, S.[Samuel], Martinez, A.M.[Aleix M.],
Learning deformable shape manifolds,
PR(45), No. 4, 2012, pp. 1792-1801.
Elsevier DOI 1410
Shape modeling BibRef

Fiala, M.[Mark],
Designing Highly Reliable Fiducial Markers,
PAMI(32), No. 7, July 2010, pp. 1317-1324.
IEEE DOI 1006
BibRef
Earlier:
ARTag: a Fiducial Marker System Using Digital Techniques,
CVPR05(II: 590-596).
IEEE DOI 0507
Special markers in image for alignment for AR applications. BibRef

Bergamasco, F.[Filippo], Albarelli, A.[Andrea], Torsello, A.[Andrea],
Pi-Tag: a fast image-space marker design based on projective invariants,
MVA(24), No. 6, August 2013, pp. 1295-1310.
WWW Link. 1307
BibRef
Earlier:
Image-Space Marker Detection and Recognition Using Projective Invariants,
3DIMPVT11(381-388).
IEEE DOI 1109
BibRef

Bergamasco, F.[Filippo], Albarelli, A.[Andrea], Rodola, E.[Emanuele], Torsello, A.[Andrea],
RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience,
CVPR11(113-120).
IEEE DOI 1106
BibRef

Cui, X.N.[Xue-Nan], Kim, H.[Hakil], Park, E.[Eunsoo], Choi, H.H.[Hyo-Hoon],
Robust and accurate pattern matching in fuzzy space for fiducial mark alignment,
MVA(24), No. 3, April 2013, pp. 447-459.
WWW Link. 1303
BibRef

Bagherinia, H.[Homayoun], Manduchi, R.[Roberto],
Robust real-time detection of multi-color markers on a cell phone,
RealTimeIP(8), No. 2, June 2013, pp. 207-223.
WWW Link. 1306
BibRef

Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F.J., Marín-Jiménez, M.J.,
Automatic generation and detection of highly reliable fiducial markers under occlusion,
PR(47), No. 6, 2014, pp. 2280-2292.
Elsevier DOI 1403
Award, Pattern Recognition, Honorable Mention. Augmented reality BibRef

Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F.J., Medina-Carnicer, R.,
Generation of fiducial marker dictionaries using Mixed Integer Linear Programming,
PR(51), No. 1, 2016, pp. 481-491.
Elsevier DOI 1601
Fiducial markers BibRef

Maidi, M.[Madjid], Ababsa, F.[Fakhr_Eddine], Mallem, M.[Malik], Preda, M.[Marius],
Hybrid tracking system for robust fiducials registration in augmented reality,
SIViP(9), No. 4, May 2015, pp. 831-849.
Springer DOI 1504
BibRef

Maidi, M.[Madjid], Ababsa, F.[Fakhr_Eddine], Mallem, M.[Malik],
Vision-inertial tracking system for robust fiducials registration in augmented reality,
CIMSVP09(83-90).
IEEE DOI 0903
BibRef

Ababsa, F.E., Roussel, D., Mallem, M., Didier, J.Y.,
2D/3D automatic matching technique for 3D recovering of free form objects,
ICPR02(II: 430-433).
IEEE DOI 0211
BibRef

Cruz-Hernández, H.[Heriberto], de la Fraga, L.G.[Luis Gerardo],
A fiducial tag invariant to rotation, translation, and perspective transformations,
PR(81), 2018, pp. 213-223.
Elsevier DOI 1806
Order Type, Computational geometry, Visual fiducial tag, Point pattern matching, Automatic identification BibRef

Romero-Ramirez, F.J.[Francisco J.], Muñoz-Salinas, R.[Rafael], Medina-Carnicer, R.[Rafael],
Speeded up detection of squared fiducial markers,
IVC(76), 2018, pp. 38-47.
Elsevier DOI 1808
Fiducial markers, Marker mapping, SLAM BibRef

Qiu, L., Zhang, Y., Xu, L., Niu, X., Zhang, Q., Zhang, L.,
Estimating Maximum Target Registration Error Under Uniform Restriction of Fiducial Localization Error in Image Guided System,
MedImg(37), No. 4, April 2018, pp. 881-892.
IEEE DOI 1804
Estimation, Monte Carlo methods, Navigation, Optimization, Surgery, maximum target registration error estimation BibRef

Benligiray, B.[Burak], Topal, C.[Cihan], Akinlar, C.[Cuneyt],
STag: A stable fiducial marker system,
IVC(89), 2019, pp. 158-169.
Elsevier DOI 1909
Fiducial markers, Pose estimation stability, Geometric calibration, Mixed reality BibRef

Zhang, Z.M.[Zhu-Ming], Hu, Y.T.[Yong-Tao], Yu, G.X.[Guo-Xing], Dai, J.W.[Jing-Wen],
DeepTag: A General Framework for Fiducial Marker Design and Detection,
PAMI(45), No. 3, March 2023, pp. 2931-2944.
IEEE DOI 2302
Symbols, Image coding, Convolutional neural networks, Training data, Robustness, Pose estimation, Detection algorithms, monocular pose estimation BibRef

Xue, Z.Y.[Zhi-Yun], Yu, K.[Kelly], Pearlman, P.[Paul], Chen, T.C.[Tseng-Cheng], Hua, C.H.[Chun-Hung], Kang, C.J.[Chung Jan], Chien, C.Y.[Chih-Yen], Tsai, M.H.[Ming-Hsui], Wang, C.P.[Cheng-Ping], Chaturvedi, A.[Anil], Antani, S.[Sameer],
Extraction of Ruler Markings For Estimating Physical Size of Oral Lesions,
ICPR22(4241-4247)
IEEE DOI 2212
Image quality, Image segmentation, Size measurement, Lesions, History, Data mining, Faces, Oral images, ruler measurement, deep learning BibRef

Makabe, L.[Lilika], Santo, H.[Hiroaki], Okura, F.[Fumio], Matsushita, Y.[Yasuyuki],
Shape-coded ArUco: Fiducial Marker for Bridging 2D and 3D Modalities,
WACV22(2315-2324)
IEEE DOI 2202
Point cloud compression, Solid modeling, Shape, 3D Computer Vision Virtual and Augmented Reality BibRef

Li, W.J.[Wei-Jian], Lu, Y.H.[Yu-Hang], Zheng, K.[Kang], Liao, H.[Haofu], Lin, C.H.[Chi-Hung], Luo, J.B.[Jie-Bo], Cheng, C.T.[Chi-Tung], Xiao, J.[Jing], Lu, L.[Le], Kuo, C.F.[Chang-Fu], Miao, S.[Shun],
Structured Landmark Detection via Topology-adapting Deep Graph Learning,
ECCV20(IX:266-283).
Springer DOI 2011
Locations of predefined fiducial points. BibRef

Hajjami, J., Caracotte, J., Caron, G., Napoléon, T.,
ArUcOmni: detection of highly reliable fiducial markers in panoramic images,
OmniCV20(2693-2699)
IEEE DOI 2008
Cameras, Pose estimation, Sensors, Mathematical model, Reliability BibRef

Uchiyama, H.[Hideaki], Oyamada, Y.J.[Yu-Ji],
Transparent Random Dot Markers,
ICPR18(254-259)
IEEE DOI 1812
Shape, Indexes, Histograms, Robustness, User interfaces. BibRef

Ferrão, J.[José], Dias, P.[Paulo], Neves, A.J.R.[António J. R.],
Detection of Aruco Markers Using the Quadrilateral Sum Conjuncture,
ICIAR18(363-369).
Springer DOI 1807
BibRef

de Gol, J.[Joseph], Bretl, T.[Timothy], Hoiem, D.[Derek],
ChromaTag: A Colored Marker and Fast Detection Algorithm,
ICCV17(1481-1490)
IEEE DOI 1802
Fiducial markers. image colour analysis, object detection, ChromaTag, colored marker, false positive rejection, fast detection algorithm, Robustness BibRef

Mondéjar-Guerra, V.M.[Víctor Manuel], Garrido-Jurado, S.[Sergio], Muñoz-Salinas, R.[Rafael], Marín-Jiménez, M.J.[Manuel J.], Medina-Carnicer, R.[Rafael],
Classification of Fiducial Markers in Challenging Conditions with SVM,
IbPRIA17(344-352).
Springer DOI 1706
BibRef

Edwards, M.J., Hayes, M.P., Green, R.D.,
High-accuracy fiducial markers for ground truth,
ICVNZ16(1-6)
IEEE DOI 1701
Cameras BibRef

Calvet, L., Gurdjos, P., Griwodz, C., Gasparini, S.,
Detection and Accurate Localization of Circular Fiducials under Highly Challenging Conditions,
CVPR16(562-570)
IEEE DOI 1612
BibRef

Khan, D., Ullah, S., Rabbi, I.,
Optimality of black to white ratio and information complexity for robust marker recognition,
IPTA14(1-6)
IEEE DOI 1503
augmented reality BibRef

Xu, A.Q.[An-Qi], Dudek, G.[Gregory],
Fourier Tag: A Smoothly Degradable Fiducial Marker System with Configurable Payload Capacity,
CRV11(40-47).
IEEE DOI 1105
BibRef

dos Anjos, A.[Antonio], Shahbazkia, H.R.[Hamid Reza],
Automatic marker detection for blob images,
WACV09(1-6).
IEEE DOI 0912
BibRef

Heimonen, T.[Teuvo], Heikkilä, J.[Janne],
Monocular Point Based Pose Estimation of Artificial Markers by Using Evolutionary Computing,
SCIA07(122-131).
Springer DOI 0706
BibRef

Rugis, J.[John], Klette, R.[Reinhard],
Surface Registration Markers from Range Scan Data,
IWCIA06(430-444).
Springer DOI 0606
BibRef

Claus, D.[David], Fitzgibbon, A.W.[Andrew W.],
Reliable Automatic Calibration of a Marker-Based Position Tracking System,
WACV05(I: 300-305).
IEEE DOI 0502
BibRef

Claus, D.[David], Fitzgibbon, A.W.[Andrew W.],
Reliable Fiducial Detection in Natural Scenes,
ECCV04(Vol IV: 469-480).
Springer DOI 0405
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Generic Object Detection .

Last update:Mar 27, 2023 at 09:32:08