{"id":"https://openalex.org/W2153780987","doi":"https://doi.org/10.1109/tip.2008.2011381","title":"Appearance Modeling Using a Geometric Transform","display_name":"Appearance Modeling Using a Geometric Transform","publication_year":2009,"publication_date":"2009-03-11","ids":{"openalex":"https://openalex.org/W2153780987","doi":"https://doi.org/10.1109/tip.2008.2011381","mag":"2153780987","pmid":"https://pubmed.ncbi.nlm.nih.gov/19278925"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2008.2011381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2008.2011381","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5051895651","display_name":"J. Li","orcid":"https://orcid.org/0009-0003-0629-4214"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]},{"id":"https://openalex.org/I40713646","display_name":"Goldman Sachs (United States)","ror":"https://ror.org/031rnv444","country_code":"US","type":"company","lineage":["https://openalex.org/I40713646"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jian Li","raw_affiliation_strings":["Center for Automation Research, Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA. lij@cfar.umd.edu","Center of Automation Research and Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA","Goldman Sachs and Company, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Automation Research, Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA. lij@cfar.umd.edu","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Center of Automation Research and Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]},{"raw_affiliation_string":"Goldman Sachs and Company, New York, NY, USA","institution_ids":["https://openalex.org/I40713646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028465673","display_name":"S. Kevin Zhou","orcid":"https://orcid.org/0000-0002-6881-4444"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.K. Zhou","raw_affiliation_strings":["Integrated Data Systems Department, Siemens Corporate Research, Inc., Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Integrated Data Systems Department, Siemens Corporate Research, Inc., Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Chellappa","raw_affiliation_strings":["Center of Automation Research and Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center of Automation Research and Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051895651"],"corresponding_institution_ids":["https://openalex.org/I40713646","https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":1.3122,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83631467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":"4","first_page":"889","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9980000257492065,"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/T11448","display_name":"Face recognition and analysis","score":0.9980000257492065,"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/T10828","display_name":"Biometric Identification and Security","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965999722480774,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7528399229049683},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7167341113090515},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5362702012062073},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.5075920820236206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49481719732284546},{"id":"https://openalex.org/keywords/distance-transform","display_name":"Distance transform","score":0.479413241147995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4789748191833496},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44059619307518005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43278688192367554},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41693389415740967},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36822444200515747}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7528399229049683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7167341113090515},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5362702012062073},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.5075920820236206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49481719732284546},{"id":"https://openalex.org/C73621898","wikidata":"https://www.wikidata.org/wiki/Q2940504","display_name":"Distance transform","level":3,"score":0.479413241147995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4789748191833496},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44059619307518005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43278688192367554},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41693389415740967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36822444200515747},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2008.2011381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2008.2011381","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:19278925","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19278925","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.147.1181","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.1181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cfar.umd.edu/~shaohua/papers/li08tip_get.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W646044893","https://openalex.org/W1508960934","https://openalex.org/W1515777398","https://openalex.org/W1604679511","https://openalex.org/W2037521346","https://openalex.org/W2057175746","https://openalex.org/W2095757522","https://openalex.org/W2100115174","https://openalex.org/W2100318434","https://openalex.org/W2114766304","https://openalex.org/W2120544738","https://openalex.org/W2121014056","https://openalex.org/W2129116707","https://openalex.org/W2133439527","https://openalex.org/W2149536289","https://openalex.org/W2151103935","https://openalex.org/W2151515629","https://openalex.org/W2152826766","https://openalex.org/W2160126058","https://openalex.org/W2160952140","https://openalex.org/W2165876389","https://openalex.org/W2169249535","https://openalex.org/W2295936755","https://openalex.org/W4212783130","https://openalex.org/W4285719527","https://openalex.org/W6679911070","https://openalex.org/W6682264129","https://openalex.org/W6684390964"],"related_works":["https://openalex.org/W4231936369","https://openalex.org/W967573802","https://openalex.org/W3103782609","https://openalex.org/W2466075600","https://openalex.org/W4366975566","https://openalex.org/W2811038336","https://openalex.org/W3089715742","https://openalex.org/W2106195697","https://openalex.org/W1522196789","https://openalex.org/W2170593128"],"abstract_inverted_index":{"A":[0],"general":[1],"transform,":[2,75,77],"called":[3],"the":[4,10,45,71,86,90,109,116,128,164,173],"geometric":[5],"transform":[6],"(GeT),":[7],"that":[8],"models":[9,56],"appearance":[11,48,96,110,165],"inside":[12,111],"a":[13,22,30,36,79,112,120,134,167],"closed":[14,37],"contour":[15],"is":[16,21],"proposed.":[17],"The":[18,154],"proposed":[19,155],"GeT":[20,72,129,136,140],"functional":[23],"of":[24,81,92,101,139,166,175],"an":[25],"image":[26,82,150],"intensity":[27],"function":[28,33],"and":[29,47,53,67,78,89,105,127,133,149,169,178],"region":[31,68,87],"indicator":[32,69,88],"derived":[34],"from":[35],"contour.":[38,113],"It":[39],"can":[40],"be":[41],"designed":[42],"to":[43,54,58,107,131,141,162],"combine":[44],"shape":[46,123],"information":[49],"at":[50],"different":[51],"resolutions":[52],"generate":[55],"invariant":[57,130],"deformation,":[59],"articulation,":[60],"or":[61],"occlusion.":[62],"By":[63,84],"choosing":[64],"appropriate":[65],"functionals":[66],"functions,":[70],"unifies":[73],"Radon":[74],"trace":[76],"class":[80],"warpings.":[83],"varying":[85],"types":[91,100],"features":[93],"used":[94],"for":[95],"modeling,":[97],"five":[98],"novel":[99],"GeTs":[102,117],"are":[103,152],"introduced":[104],"applied":[106,161],"fingerprinting":[108,163],"They":[114],"include":[115],"based":[118],"on":[119],"level":[121],"set,":[122],"matching,":[124],"feature":[125],"curves,":[126],"occlusion,":[132],"multiresolution":[135],"(MRGeT).":[137],"Applications":[138],"pedestrian":[142],"identity":[143],"recognition,":[144],"human":[145,168],"body":[146,170],"part":[147],"segmentation,":[148],"synthesis":[151],"illustrated.":[153],"approach":[156],"produces":[157],"promising":[158],"results":[159],"when":[160],"parts":[171],"despite":[172],"presence":[174],"nonrigid":[176],"deformations":[177],"articulated":[179],"motion.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
