{"id":"https://openalex.org/W2023528786","doi":"https://doi.org/10.1142/s0219467804001415","title":"AUTOMATIC IMAGE REGISTRATION USING VIRTUAL CIRCLES","display_name":"AUTOMATIC IMAGE REGISTRATION USING VIRTUAL CIRCLES","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W2023528786","doi":"https://doi.org/10.1142/s0219467804001415","mag":"2023528786"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467804001415","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001415","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5030617821","display_name":"Haikel Alhichri","orcid":"https://orcid.org/0000-0003-2164-043X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"HAIKEL S. ALHICHRI","raw_affiliation_strings":["Pattern Analysis and Machine Intelligence Laboratory, Systems Design Engineering, University of Waterloo, 200 University Ave. West Waterloo, ON. N2L3G1, Canada"],"affiliations":[{"raw_affiliation_string":"Pattern Analysis and Machine Intelligence Laboratory, Systems Design Engineering, University of Waterloo, 200 University Ave. West Waterloo, ON. N2L3G1, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318050","display_name":"Mohamed S. Kamel","orcid":"https://orcid.org/0000-0001-6173-8082"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"MOHAMED KAMEL","raw_affiliation_strings":["Pattern Analysis and Machine Intelligence Laboratory, Systems Design Engineering, University of Waterloo, 200 University Ave. West Waterloo, ON. N2L3G1, Canada"],"affiliations":[{"raw_affiliation_string":"Pattern Analysis and Machine Intelligence Laboratory, Systems Design Engineering, University of Waterloo, 200 University Ave. West Waterloo, ON. N2L3G1, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030617821"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1178303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"04","issue":"02","first_page":"281","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983999729156494,"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/computer-vision","display_name":"Computer vision","score":0.7330175638198853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7123163938522339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7032743096351624},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.684666633605957},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5996423959732056},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5322340130805969},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.526276171207428},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.506791889667511},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.4689960777759552},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46687620878219604},{"id":"https://openalex.org/keywords/virtual-image","display_name":"Virtual image","score":0.4548549950122833},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41018950939178467}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7330175638198853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7123163938522339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7032743096351624},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.684666633605957},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5996423959732056},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5322340130805969},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.526276171207428},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.506791889667511},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.4689960777759552},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46687620878219604},{"id":"https://openalex.org/C51970089","wikidata":"https://www.wikidata.org/wiki/Q44415","display_name":"Virtual image","level":2,"score":0.4548549950122833},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41018950939178467},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467804001415","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467804001415","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320322015","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087"},{"id":"https://openalex.org/F4320324086","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1517229131","https://openalex.org/W1602797708","https://openalex.org/W1963623641","https://openalex.org/W1964456699","https://openalex.org/W1992534760","https://openalex.org/W2012447162","https://openalex.org/W2015206503","https://openalex.org/W2033554200","https://openalex.org/W2038700228","https://openalex.org/W2043035450","https://openalex.org/W2044774254","https://openalex.org/W2067710092","https://openalex.org/W2119014534","https://openalex.org/W2124087378","https://openalex.org/W2138514272","https://openalex.org/W2160754664","https://openalex.org/W2161035581","https://openalex.org/W2495682009","https://openalex.org/W4376453519"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2043988397"],"abstract_inverted_index":{"The":[0],"main":[1],"contribution":[2],"of":[3,10,23,83,90,103,106,109,134,137,150],"this":[4,126],"work":[5],"is":[6,31,140],"a":[7,32,38,129,147],"novel":[8],"set":[9],"image":[11],"features":[12],"called":[13],"the":[14,21,81,84,95,101,115,135,160],"virtual":[15,29,71,97],"circles":[16,72,98],"and":[17,56,75,114],"their":[18],"use":[19],"in":[20,100,132],"registration":[22,102],"images":[24],"under":[25],"similarity":[26],"transformations.":[27],"A":[28],"circle":[30,33],"with":[34,80],"maximal":[35],"radius":[36],"encompassing":[37],"background":[39],"area":[40],"that":[41,125],"does":[42],"not":[43],"contain":[44],"edge":[45,59],"points.":[46],"It":[47,139],"has":[48,128,146],"many":[49,88],"useful":[50],"properties":[51],"such":[52],"as":[53],"its":[54,57],"radius,":[55],"dominant":[58],"direction":[60],"for":[61,67],"example,":[62],"which":[63,110,152],"can":[64,76],"be":[65,77,157],"utilized":[66],"efficient":[68],"registration.":[69],"Furthermore,":[70],"are":[73,111,118],"frequent":[74],"extracted":[78],"efficiently":[79],"help":[82],"distance":[85],"transform":[86],"from":[87],"types":[89],"images.":[91],"We":[92],"have":[93,123],"tested":[94],"new":[96],"method":[99,127],"66":[104],"pairs":[105],"images,":[107],"half":[108,117],"printed":[112],"labels":[113],"other":[116],"indoor":[119],"scenes.":[120],"Experimental":[121],"results":[122],"shown":[124],"linear":[130],"complexity":[131],"terms":[133],"number":[136,149],"pixels.":[138],"also":[141],"highly":[142],"automatic,":[143],"because":[144],"it":[145],"small":[148],"parameters,":[151],"almost":[153],"never":[154],"need":[155],"to":[156],"changed":[158],"throughout":[159],"experiments.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}