Update fidmark.ttl

Included annotations for markers that were missing them
OpenHPS · Nov 30, 2023 · a87e429 · a87e429
1 parent b272003
commit a87e429
Showing 1 changed file with 30 additions and 4 deletions.
diff --git a/1.0/fidmark.ttl b/1.0/fidmark.ttl
@@ -356,6 +356,9 @@
 ###  http://purl.org/fidmark/CALTag
 :CALTag rdf:type owl:Class ;
         rdfs:subClassOf :Barcode2D ;
+        :color "Monochrome" ;
+        :encoding "Topological" ;
+        :shape "Square" ;
         rdfs:comment """CALTag is a self-identifying marker pattern that can be accurately and automatically detected in images. Detection is robust to occlusions, uneven illumination and moderate lens distortion.
 
 Chequerboards are often used for camera calibration, with the interior saddle points providing the necessary point correspondences. Manual identification of these points is at best tedious, and at worst, infeasible and unreliable (especially when calibrating large arrays of cameras). By augmenting the pattern with self-identifying binary codes, much like the excellent ARTag system, this process can be automated.
@@ -370,7 +373,12 @@ Whereas ARTag has highly robust error detection and correction, it suffers from
 :CCC rdf:type owl:Class ;
      rdfs:subClassOf :Barcode1D ,
                      :CircularBarcode ;
+     :color "Monochrome" ;
+     :encoding "Not supported" ;
+     :shape "Circular" ;
+     rdfs:comment "A CCC is formed by placing a black ring on a white background. A CCC can also be thought of as a small white circle whose center is coincident with the center of a larger black circle, all on a white background. CCCs can be easily manufactured, it is easily extracted from the image, its extrtion is robust, it is a passive feature, and its centroid is completely invariant to the three translational and one rotational degrees of freedom and nearly invariant to the remaining two rotational degrees of freedom." ;
      rdfs:label "Concentric contrasting circles"@en ;
+     rdfs:seeAlso "https://doi.org/10.1117/12.56761" ;
      <http://www.w3.org/2004/02/skos/core#altLabel> "CCC"@en .
 
 
@@ -385,6 +393,9 @@ Whereas ARTag has highly robust error detection and correction, it suffers from
 ###  http://purl.org/fidmark/Chilitags
 :Chilitags rdf:type owl:Class ;
            rdfs:subClassOf :Barcode2D ;
+           :color "Monochrome" ;
+           :encoding "Topological" ;
+           :shape "Square" ;
            rdfs:comment "Chilitags are a C++ cross-platform software library for the detection and identification of 2D fiducial markers (a.k.a. tags). Their purpose is to be printed and placed on objects from the real world, to form the basis of Robotics or Augmented Reality (AR) applications. Using a camera, the position of the tagged objects can be acquired by a computer."@en ;
            rdfs:isDefinedBy "https://github.com/chili-epfl/chilitags"^^xsd:anyURI ;
            rdfs:label "Chilitags"@en .
@@ -394,7 +405,9 @@ Whereas ARTag has highly robust error detection and correction, it suffers from
 :ChromaTag rdf:type owl:Class ;
            rdfs:subClassOf :Barcode2D ;
            :color "Multicolor"@en ;
-           rdfs:comment "ChromaTag is a colored fiducial marker and detection algorithm that is significantly faster than other markers."@en ;
+           :encoding "Topological" ;
+           :shape "Square" ;
+           rdfs:comment "ChromaTag is a colored fiducial marker and detection algorithm that is significantly faster than other markers; it uses opponent colors to limit and quickly reject initial false detections and grayscale for precise localization."@en ;
            rdfs:isDefinedBy "https://github.com/CogChameleon/ChromaTag"^^xsd:anyURI ;
            rdfs:label "ChromaTag"@en .
 
@@ -409,7 +422,13 @@ Whereas ARTag has highly robust error detection and correction, it suffers from
 
 ###  http://purl.org/fidmark/Cybercode
 :Cybercode rdf:type owl:Class ;
-           rdfs:subClassOf :Barcode2D .
+           rdfs:subClassOf :Barcode2D ;
+           :color "Monochrome" ;
+           :encoding "Topological" ;
+           :shape "Square / Rectangular" ;
+           rdfs:comment "The CyberCode is a visual tagging system based on a 2D-barcode technology and provides several features not provided by other tagging systems. CyberCode tags can be recognized by the low-cost CMOS or CCD cameras found in more and more mobile devices, and it can also be used to determine the 3D position of the tagged object as well as its ID number." ;
+           rdfs:isDefinedBy "https://dl.acm.org/doi/abs/10.1145/354666.354667" ;
+           rdfs:label "CyberCode" .
 
 
 ###  http://purl.org/fidmark/EPnPPoseComputation
@@ -495,6 +514,9 @@ Whereas ARTag has highly robust error detection and correction, it suffers from
 ###  http://purl.org/fidmark/MaxiCode
 :MaxiCode rdf:type owl:Class ;
           rdfs:subClassOf :Barcode2D ;
+          :color "Monochrome" ;
+          :encoding "Topological" ;
+          :shape "Square" ;
           rdfs:comment "MaxiCode is a public domain, machine-readable symbol system originally created by the United Parcel Service in 1992. Suitable for tracking and managing the shipment of packages, it resembles an Aztec Code or QR code, but uses dots arranged in a hexagonal grid instead of square grid."@en ;
           rdfs:isDefinedBy <https://dbpedia.org/resource/MaxiCode> ;
           rdfs:label "MaxiCode"@en .
@@ -578,9 +600,13 @@ Whereas ARTag has highly robust error detection and correction, it suffers from
 ###  http://purl.org/fidmark/TopoTag
 :TopoTag rdf:type owl:Class ;
          rdfs:subClassOf :Barcode2D ;
+         :color "Monochrome" ;
+         :encoding "Topological and geometrical" ;
+         :shape "Varies" ;
          rdfs:comment "Fiducial markers have been playing an important role in augmented reality (AR), robot navigation, and general applications where the relative pose between a camera and an object is required. Here we introduce TopoTag, a robust and scalable topological fiducial marker system, which supports reliable and accurate pose estimation from a single image. TopoTag uses topological and geometrical information in marker detection to achieve higher robustness. Topological information is extensively used for 2D marker detection, and further corresponding geometrical information for ID decoding. Robust 3D pose estimation is achieved by taking advantage of all TopoTag vertices. Without sacrificing bits for higher recall and precision like previous systems, TopoTag can use full bits for ID encoding. TopoTag supports tens of thousands unique IDs and easily extends to millions of unique tags resulting in massive scalability."@en ;
          rdfs:isDefinedBy "https://herohuyongtao.github.io/research/publications/topo-tag/"^^xsd:anyURI ;
-         rdfs:label "TopoTag"@en .
+         rdfs:label "TopoTag"@en ;
+         rdfs:seeAlso "https://github.com/herohuyongtao/topotag" .
 
 
 ###  http://purl.org/fidmark/VisualCode
@@ -934,4 +960,4 @@ Whereas ARTag has highly robust error detection and correction, it suffers from
                 rdfs:label "Top right origin"@en .
 
 
-###  Generated by the OWL API (version 4.5.9.2019-02-01T07:24:44Z) https://github.com/owlcs/owlapi
+###  Generated by the OWL API (version 4.5.26.2023-07-17T20:34:13Z) https://github.com/owlcs/owlapi