{"id":"https://openalex.org/W2116670703","doi":"https://doi.org/10.1109/iccv.2003.1238670","title":"Color edge detection by photometric quasi-invariants","display_name":"Color edge detection by photometric quasi-invariants","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2116670703","doi":"https://doi.org/10.1109/iccv.2003.1238670","mag":"2116670703"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2003.1238670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","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/A5101958996","display_name":"Joost van de Weijer","orcid":"https://orcid.org/0000-0002-9656-9706"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"van de Weijer","raw_affiliation_strings":["Intelligent Sensory Information Systems Faculty of Science, University of Amsterdam, Amsterdam, Netherlands","Fac. of Sci., Amsterdam Univ., Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"Intelligent Sensory Information Systems Faculty of Science, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Fac. of Sci., Amsterdam Univ., Netherlands#TAB#","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035302276","display_name":"Gevers","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gevers","raw_affiliation_strings":["Intelligent Sensory Information Systems Faculty of Science, University of Amsterdam, Amsterdam, Netherlands","Fac. of Sci., Amsterdam Univ., Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"Intelligent Sensory Information Systems Faculty of Science, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Fac. of Sci., Amsterdam Univ., Netherlands#TAB#","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049661604","display_name":"Geusebroek","orcid":null},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geusebroek","raw_affiliation_strings":["Intelligent Sensory Information Systems Faculty of Science, University of Amsterdam, Amsterdam, Netherlands","Fac. of Sci., Amsterdam Univ., Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"Intelligent Sensory Information Systems Faculty of Science, University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]},{"raw_affiliation_string":"Fac. of Sci., Amsterdam Univ., Netherlands#TAB#","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101958996"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":2.2915,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88069371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1520","last_page":"1525 vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.987500011920929,"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/T12496","display_name":"Color perception and design","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.7484487295150757},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6350772380828857},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6274185180664062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5489544868469238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45637238025665283},{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.45086437463760376},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4459574222564697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.360847532749176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3606601357460022},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17124542593955994},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13477003574371338}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7484487295150757},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6350772380828857},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6274185180664062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5489544868469238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45637238025665283},{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.45086437463760376},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4459574222564697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.360847532749176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3606601357460022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17124542593955994},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13477003574371338},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":2,"locations":[{"id":"doi:10.1109/iccv.2003.1238670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2003.1238670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Ninth IEEE International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.6.2719","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://carol.wins.uva.nl/~mark/pub/2003/WeijerICCV03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7699999809265137,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1991135461","https://openalex.org/W2010560725","https://openalex.org/W2034801692","https://openalex.org/W2035748788","https://openalex.org/W2160477239","https://openalex.org/W2296249689","https://openalex.org/W3162111397"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2071501285","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366"],"abstract_inverted_index":{"Photometric":[0],"invariance":[1,13,28],"is":[2,14],"used":[3],"in":[4,106,132],"many":[5],"computer":[6],"vision":[7],"applications.":[8],"The":[9],"advantage":[10],"of":[11,26,32,56,96,109],"photometric":[12,27,63,79,98,110],"the":[15,24,30,36,41,46,71,93,107,119,128],"robustness":[16],"against":[17,78],"shadows,":[18],"shading":[19],"and":[20,35,114,124],"illumination":[21],"conditions.":[22],"However,":[23],"drawbacks":[25],"are":[29,76,122],"loss":[31],"discriminative":[33,133],"power":[34],"inherent":[37,94],"instabilities":[38,95],"caused":[39],"by":[40],"nonlinear":[42],"transformations":[43],"to":[44,61],"compute":[45],"invariants.":[47,99],"In":[48],"this":[49],"paper,":[50],"we":[51,59],"propose":[52],"a":[53],"new":[54],"class":[55],"derivatives":[57,105,121,131],"which":[58],"refer":[60],"as":[62,82],"quasi-invariants.":[64],"These":[65],"quasi-invariants":[66,89],"share":[67],"with":[68],"full":[69,97,129],"invariants":[70],"nice":[72],"property":[73],"that":[74,118],"they":[75,125],"robust":[77],"edges,":[80],"such":[81],"shadows":[83],"or":[84],"specular":[85],"edges.":[86],"Further,":[87],"these":[88,103],"do":[90],"not":[91],"have":[92],"We":[100],"will":[101],"apply":[102],"quasi-invariant":[104,120],"context":[108],"invariant":[111,130],"edge":[112],"detection":[113],"classification.":[115],"Experiments":[116],"show":[117],"stable":[123],"significantly":[126],"outperform":[127],"power.":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
