This HTML5 document contains 6 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

PrefixNamespace IRI
dctermshttp://purl.org/dc/terms/
n3http://dbkwik.webdatacommons.org/ontology/
n5http://dbkwik.webdatacommons.org/resource/P5QTyHQbtClX1Ow08dOSFg==
n6http://dbkwik.webdatacommons.org/resource/7JnEgMd4XOckg9CIJO8SVA==
rdfshttp://www.w3.org/2000/01/rdf-schema#
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
xsdhhttp://www.w3.org/2001/XMLSchema#
dbrhttp://dbpedia.org/resource/
n2http://dbkwik.webdatacommons.org/resource/9UrDr8fTMQAI1nwpb-BZUw==
Subject Item
n2:
rdfs:label
Corner detection
rdfs:comment
A corner can be defined as the point where two non-parallel edges meet, or ought to meet. Corner Detection is an important low-level step in many object detection and recognition tasks. Common approaches are: * Template Matching * Second-order Derivative Schemes * Plessey Corner Detector (also known as the Harris detector) * Median filter based corner detection. * Hough Transform approach
owl:sameAs
dbr:Corner_detection
dcterms:subject
n5: n6:
n3:abstract
A corner can be defined as the point where two non-parallel edges meet, or ought to meet. Corner Detection is an important low-level step in many object detection and recognition tasks. Common approaches are: * Template Matching * Second-order Derivative Schemes * Plessey Corner Detector (also known as the Harris detector) * Median filter based corner detection. * Hough Transform approach