{"id":"https://openalex.org/W2035000949","doi":"https://doi.org/10.1109/ramech.2011.6070448","title":"Composite X marker detection and recognition","display_name":"Composite X marker detection and recognition","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2035000949","doi":"https://doi.org/10.1109/ramech.2011.6070448","mag":"2035000949"},"language":"en","primary_location":{"id":"doi:10.1109/ramech.2011.6070448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2011.6070448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052057753","display_name":"Meng Cai","orcid":"https://orcid.org/0000-0002-0711-5949"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cai Meng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060311371","display_name":"Hongsheng He","orcid":"https://orcid.org/0000-0002-2810-865X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hongsheng He","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008501506","display_name":"Shuzhi Sam Ge","orcid":"https://orcid.org/0000-0001-5549-312X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuzhi Sam Ge","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052057753"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10328846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"12","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/composite-number","display_name":"Composite number","score":0.6860102415084839},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.6180123090744019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5972564816474915},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.579209566116333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5697153806686401},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5356295704841614},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.490567147731781},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.48278915882110596},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.478945791721344},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4489190876483917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4278275966644287},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4036540985107422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3425756096839905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3264511227607727},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22739344835281372},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20761778950691223},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10619670152664185},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09004202485084534},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.07002907991409302}],"concepts":[{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.6860102415084839},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.6180123090744019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5972564816474915},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.579209566116333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5697153806686401},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5356295704841614},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.490567147731781},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48278915882110596},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.478945791721344},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4489190876483917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4278275966644287},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4036540985107422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3425756096839905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3264511227607727},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22739344835281372},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20761778950691223},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10619670152664185},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09004202485084534},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.07002907991409302},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ramech.2011.6070448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2011.6070448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 5th International Conference on Robotics, Automation and Mechatronics (RAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W99916124","https://openalex.org/W206745480","https://openalex.org/W1561218420","https://openalex.org/W1606043835","https://openalex.org/W1968547690","https://openalex.org/W2000367729","https://openalex.org/W2043635407","https://openalex.org/W2119040039","https://openalex.org/W6633772595","https://openalex.org/W6661507659"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W4283017538","https://openalex.org/W1996936972","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W2075777916","https://openalex.org/W3021699548","https://openalex.org/W2024019664","https://openalex.org/W2169824150"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"Tri-X":[4,42,68,98],"composite":[5,43,69,99],"marker":[6,44,100],"and":[7,11,57,75,95],"its":[8,76],"corresponding":[9,48],"detection":[10,49],"recognition":[12,77,96],"algorithm":[13,50],"are":[14,45,80,101],"proposed.":[15],"At":[16],"first":[17],"the":[18,55,58,89],"Hessian":[19],"matrix":[20],"based":[21,53],"X":[22,62],"point":[23],"detector":[24],"is":[25,51],"improved":[26],"by":[27],"introduction":[28],"of":[29,41,61,67,97],"symmetry":[30],"test,":[31],"which":[32],"can":[33],"decrease":[34],"non-X":[35],"points":[36],"significantly.":[37],"Then":[38],"two":[39],"types":[40],"defined.":[46],"The":[47,64,83],"proposed":[52,90],"on":[54],"definition":[56],"eigenvector":[59],"directions":[60],"points.":[63],"stereo":[65],"match":[66,94],"markers":[70],"in":[71,78],"binocular":[72],"vision":[73],"images":[74],"space":[79],"also":[81],"discussed.":[82],"physical":[84],"experiment":[85],"results":[86],"show":[87],"that":[88],"methods":[91],"for":[92],"detecting,":[93],"effective.":[102]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}