{"id":"https://openalex.org/W1570650500","doi":"https://doi.org/10.1109/icassp.2003.1199523","title":"\"Super-resolution curve\" and image registration","display_name":"\"Super-resolution curve\" and image registration","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W1570650500","doi":"https://doi.org/10.1109/icassp.2003.1199523","mag":"1570650500"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1199523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1199523","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038148580","display_name":"M. Xia","orcid":"https://orcid.org/0000-0001-8221-9660"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Xia","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Dept. of Electr. Eng., Princeton Univ., NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Princeton Univ., NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114378471","display_name":"B. Liu","orcid":"https://orcid.org/0000-0002-0721-8331"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Liu","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","Dept. of Electr. Eng., Princeton Univ., NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Princeton Univ., NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"III","last_page":"509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994000196456909,"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":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/affine-transformation","display_name":"Affine transformation","score":0.8302207589149475},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7138015031814575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863086581230164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5620182752609253},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.48152098059654236},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.47873541712760925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46950221061706543},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.4671480059623718},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.4668809771537781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4598894715309143},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42431366443634033},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41909852623939514},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2837279140949249},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.22569715976715088},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.22206833958625793},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08883640170097351}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8302207589149475},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7138015031814575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863086581230164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5620182752609253},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.48152098059654236},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.47873541712760925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46950221061706543},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.4671480059623718},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.4668809771537781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4598894715309143},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42431366443634033},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41909852623939514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2837279140949249},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.22569715976715088},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.22206833958625793},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08883640170097351},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2003.1199523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1199523","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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":7,"referenced_works":["https://openalex.org/W2034966370","https://openalex.org/W2096590577","https://openalex.org/W2133584444","https://openalex.org/W2135133398","https://openalex.org/W2161035581","https://openalex.org/W4206322321","https://openalex.org/W7065315931"],"related_works":["https://openalex.org/W2038416447","https://openalex.org/W2077614002","https://openalex.org/W2016861691","https://openalex.org/W2100415142","https://openalex.org/W1871401365","https://openalex.org/W2165644674","https://openalex.org/W2394217041","https://openalex.org/W2362882495","https://openalex.org/W2156395569","https://openalex.org/W3015686902"],"abstract_inverted_index":{"An":[0],"affine":[1,43,86],"invariant":[2],"2D":[3],"curve":[4,28,37,69,78,108],"matching":[5,94],"and":[6,19,29,45,70,82,107],"alignment":[7,109],"approach":[8],"is":[9,21,38,58,75,110],"proposed":[10],"to":[11,60],"solve":[12],"the":[13,67],"image":[14,100],"registration":[15,71,101,114],"problem.":[16],"Superior":[17],"accuracy":[18],"efficiency":[20],"achieved":[22],"by":[23,40,77,93],"a":[24,30,62],"concept":[25],"called":[26,32],"super-resolution":[27,36,68],"technique":[31,57],"B-spline":[33,55,64],"fusion.":[34],"A":[35,98],"formed":[39],"superimposing":[41],"two":[42],"related":[44],"registered":[46],"curves":[47],"(in":[48],"discrete":[49],"form)":[50],"upon":[51],"each":[52],"other.":[53],"The":[54],"fusion":[56],"designed":[59],"obtain":[61],"single":[63],"approximation":[65],"of":[66,96],"estimate":[72],"simultaneously.":[73],"Occlusion":[74],"handled":[76],"segmentation":[79],"using":[80],"inflections":[81],"cusps,":[83],"which":[84],"are":[85],"invariant.":[87],"Partial":[88],"match":[89],"then":[90,111],"becomes":[91],"possible":[92],"segments":[95],"curves.":[97],"complete":[99],"framework":[102],"based":[103],"on":[104],"edge":[105],"detection":[106],"proposed.":[112],"Accurate":[113],"results":[115],"have":[116],"been":[117],"achieved.":[118]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}