A fiducial tag invariant to rotation, translation, and perspective transformations
作者:
Highlights:
• We test experimentally the use of the Computational Geometry construction called order type for auto-identification of a fiducial tag.
• We describe a procedure for detecting the fiducial tag from an image and the algorithms for computing an identification number from them.
• We do extensively tests to show that the proposed construction is invariant to translation, rotation, and perspective transformations.
• We analyze which is the maximum noise in point positions for all points within a set that allows to compute correctly the order type in that set of points.
• As the proposed new tags are invariant to perspective transformation, it is not necessary to remove in the tag image this distortion in order to recover its associated identification number.
• With a tag of 21 × 21 cm and images of size 640 × 480 pixels, our results show that the tag and its associated ID can be recovered if the tag is tilt less than 81°, including perspective distortion, and at a distance less than 91 cm. Also, up to 3472 of such IDs are available.
摘要
•We test experimentally the use of the Computational Geometry construction called order type for auto-identification of a fiducial tag.•We describe a procedure for detecting the fiducial tag from an image and the algorithms for computing an identification number from them.•We do extensively tests to show that the proposed construction is invariant to translation, rotation, and perspective transformations.•We analyze which is the maximum noise in point positions for all points within a set that allows to compute correctly the order type in that set of points.•As the proposed new tags are invariant to perspective transformation, it is not necessary to remove in the tag image this distortion in order to recover its associated identification number.•With a tag of 21 × 21 cm and images of size 640 × 480 pixels, our results show that the tag and its associated ID can be recovered if the tag is tilt less than 81°, including perspective distortion, and at a distance less than 91 cm. Also, up to 3472 of such IDs are available.
论文关键词:Order Type,Computational geometry,Visual fiducial tag,Point pattern matching,Automatic identification,Computer vision
论文评审过程:Received 4 October 2016, Revised 23 March 2018, Accepted 25 March 2018, Available online 27 March 2018, Version of Record 18 April 2018.
论文官网地址:https://doi.org/10.1016/j.patcog.2018.03.024