{"id":"https://openalex.org/W2134736836","doi":"https://doi.org/10.1109/ccece.2009.5090127","title":"PCA-whitening CSS shape descriptor for affine invariant image retrieval","display_name":"PCA-whitening CSS shape descriptor for affine invariant image retrieval","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2134736836","doi":"https://doi.org/10.1109/ccece.2009.5090127","mag":"2134736836"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2009.5090127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2009.5090127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Canadian Conference on Electrical and Computer Engineering","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/A5108225422","display_name":"Ye Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ye Mei","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113967384","display_name":"Dimitrios Androutsos","orcid":"https://orcid.org/0009-0009-4892-6324"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dimitrios Androutsos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street, Toronto, Ontario, Canada M5B 2K3","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108225422"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62543606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"235","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9944999814033508,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.7994550466537476},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7675079703330994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6980257630348206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6020903587341309},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5914151668548584},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5662649869918823},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.561470091342926},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.537492573261261},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4546821415424347},{"id":"https://openalex.org/keywords/affine-hull","display_name":"Affine hull","score":0.45071232318878174},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.43332424759864807},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.42405837774276733},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.4234324097633362},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.42325150966644287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3545251488685608},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28808772563934326},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.2561492919921875},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11939007043838501},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.10676929354667664}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7994550466537476},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7675079703330994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6980257630348206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6020903587341309},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5914151668548584},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5662649869918823},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.561470091342926},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.537492573261261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4546821415424347},{"id":"https://openalex.org/C112128483","wikidata":"https://www.wikidata.org/wiki/Q382504","display_name":"Affine hull","level":4,"score":0.45071232318878174},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.43332424759864807},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.42405837774276733},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.4234324097633362},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.42325150966644287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3545251488685608},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28808772563934326},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.2561492919921875},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11939007043838501},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.10676929354667664},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2009.5090127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2009.5090127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Canadian Conference on Electrical and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W109390732","https://openalex.org/W1510464305","https://openalex.org/W1548802052","https://openalex.org/W2012515212","https://openalex.org/W2061145221","https://openalex.org/W2105664606","https://openalex.org/W2106404777","https://openalex.org/W2143138060","https://openalex.org/W4205778870"],"related_works":["https://openalex.org/W2184784635","https://openalex.org/W2501097992","https://openalex.org/W1510464305","https://openalex.org/W2464585191","https://openalex.org/W1965145450","https://openalex.org/W13786964","https://openalex.org/W2498386001","https://openalex.org/W2120613650","https://openalex.org/W4367041895","https://openalex.org/W1989588923"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"the":[5,19,34,64,86],"Principal":[6],"Component":[7],"Analysis":[8],"(PCA)-whitening":[9],"Curvature":[10],"Scale":[11],"Space":[12],"(CSS)":[13],"affine-invariant":[14],"shape":[15,21,27,35,53,72],"descriptor,":[16],"which":[17,55,97],"extends":[18],"CSS":[20,42],"descriptor":[22,88],"to":[23,32],"an":[24],"affine":[25,108],"invariant":[26],"descriptor.":[28],"PCA-whitening":[29],"is":[30,98],"applied":[31],"transform":[33],"contours":[36,51],"into":[37],"their":[38],"canonical":[39,50],"forms.":[40],"The":[41],"image":[43,75,82],"maxima":[44,60],"are":[45],"then":[46],"extracted":[47],"from":[48],"those":[49],"as":[52,69],"descriptors,":[54],"can":[56],"be":[57],"compared":[58],"through":[59],"matching.":[61],"We":[62],"tested":[63],"descriptors":[65],"by":[66],"using":[67,106],"them":[68],"features":[70],"in":[71],"based":[73],"silhouette":[74,81],"retrieval.":[76],"Experiments":[77],"on":[78],"a":[79,90],"1890":[80],"database":[83],"show":[84],"that":[85,102],"proposed":[87],"has":[89],"promising":[91],"overall":[92],"retrieval":[93],"rate":[94],"of":[95,103],"91.02%,":[96],"10.03%":[99],"more":[100],"than":[101],"its":[104],"countparter":[105],"traditional":[107],"parameterization.":[109]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
