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Automatic generation and detection of highly reliable fiducial markers under occlusion

Pattern Recognition · 2014 · Vol. 47(6) · pp. 2280–2292
Sergio Garrido-JuradoRafael Muñoz‐SalinasF.J. Madrid-CuevasManuel J. Marín‐Jiménez
Robotics and Sensor-Based LocalizationAugmented Reality Applications3D Surveying and Cultural HeritageFiducial markerComputer scienceArtificial intelligenceSegmentationBinary numberComputer visionAugmented realityOcclusionPattern recognition (psychology)Mathematics
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References
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1977 · 49,286 citations
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision · 1997 · 3,315 citations
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1986 · 28,799 citations
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing · 2005 · 1,849 citations
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Automatic generation and detection of highly reliable fiducial markers under occlusion · Scinovex