{"id":"https://openalex.org/W2070874798","doi":"https://doi.org/10.1109/rivf.2009.5174637","title":"Eigen and Fisher Barycenter Contour for 2D Shape Classification","display_name":"Eigen and Fisher Barycenter Contour for 2D Shape Classification","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2070874798","doi":"https://doi.org/10.1109/rivf.2009.5174637","mag":"2070874798"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2009.5174637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2009.5174637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","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/A5004956696","display_name":"Kosorl Thourn","orcid":"https://orcid.org/0000-0002-7363-7147"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]},{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]},{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Kosorl Thourn","raw_affiliation_strings":["Department of Electronics,  Faculty of Engineering, King Mongkut''s Institute of Technology, Bangkok, Thailand","Dept. of Electron., King Mongkut's Inst. of Technol., Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Electronics,  Faculty of Engineering, King Mongkut''s Institute of Technology, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225","https://openalex.org/I91538806","https://openalex.org/I60837268"]},{"raw_affiliation_string":"Dept. of Electron., King Mongkut's Inst. of Technol., Bangkok, Thailand","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007838730","display_name":"Yuttana Kitjaidure","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]},{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]},{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Yuttana Kitjaidure","raw_affiliation_strings":["Department of Electronics,  Faculty of Engineering, King Mongkut''s Institute of Technology, Bangkok, Thailand","Dept. of Electron., King Mongkut's Inst. of Technol., Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Electronics,  Faculty of Engineering, King Mongkut''s Institute of Technology, Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225","https://openalex.org/I91538806","https://openalex.org/I60837268"]},{"raw_affiliation_string":"Dept. of Electron., King Mongkut's Inst. of Technol., Bangkok, Thailand","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112044151","display_name":"Shozo Kondo","orcid":null},"institutions":[{"id":"https://openalex.org/I1314466530","display_name":"Tokai University","ror":"https://ror.org/01p7qe739","country_code":"JP","type":"education","lineage":["https://openalex.org/I1314466530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shozo Kondo","raw_affiliation_strings":["Department of Information and Telecommunication Engineering, Tokai University, Japan","Tokai Univ"],"affiliations":[{"raw_affiliation_string":"Department of Information and Telecommunication Engineering, Tokai University, Japan","institution_ids":["https://openalex.org/I1314466530"]},{"raw_affiliation_string":"Tokai Univ","institution_ids":["https://openalex.org/I1314466530"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004956696"],"corresponding_institution_ids":["https://openalex.org/I60837268","https://openalex.org/I82828225","https://openalex.org/I91538806"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11359128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification 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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9944000244140625,"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":0.9889000058174133,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.750697135925293},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6749133467674255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6745767593383789},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6314173936843872},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6159754991531372},{"id":"https://openalex.org/keywords/affine-hull","display_name":"Affine hull","score":0.5006229877471924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4869314432144165},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4521997272968292},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4471471905708313},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.42267706990242004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3800448477268219},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.1797843873500824},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15782275795936584}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.750697135925293},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6749133467674255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6745767593383789},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6314173936843872},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6159754991531372},{"id":"https://openalex.org/C112128483","wikidata":"https://www.wikidata.org/wiki/Q382504","display_name":"Affine hull","level":4,"score":0.5006229877471924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4869314432144165},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4521997272968292},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4471471905708313},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.42267706990242004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3800448477268219},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.1797843873500824},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15782275795936584},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf.2009.5174637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2009.5174637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE-RIVF International Conference on Computing and Communication Technologies","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":22,"referenced_works":["https://openalex.org/W109390732","https://openalex.org/W1553171952","https://openalex.org/W1622032990","https://openalex.org/W1965560931","https://openalex.org/W1981849901","https://openalex.org/W1989443316","https://openalex.org/W1996187920","https://openalex.org/W2021512179","https://openalex.org/W2024534252","https://openalex.org/W2045915581","https://openalex.org/W2057175746","https://openalex.org/W2078481371","https://openalex.org/W2105709603","https://openalex.org/W2121647436","https://openalex.org/W2125310690","https://openalex.org/W2131529365","https://openalex.org/W2145425472","https://openalex.org/W2154927851","https://openalex.org/W2165250077","https://openalex.org/W2165414070","https://openalex.org/W2746698054","https://openalex.org/W4234750346"],"related_works":["https://openalex.org/W1976822125","https://openalex.org/W2354159744","https://openalex.org/W4376123210","https://openalex.org/W2306105624","https://openalex.org/W2600867691","https://openalex.org/W2361270947","https://openalex.org/W2964008969","https://openalex.org/W2399434605","https://openalex.org/W2952357927","https://openalex.org/W2038416447"],"abstract_inverted_index":{"To":[0],"achieve":[1],"a":[2,78],"good":[3],"performance":[4],"for":[5,32,139],"shape":[6,11,34,72,147],"classification,":[7],"it":[8,52],"requires":[9],"both":[10],"representation":[12,37],"and":[13,24,127,155],"classifier.":[14],"In":[15],"this":[16],"paper,":[17],"the":[18,39,61,71,103,111,120,124,137,145,149,156],"so-called":[19],"Eigen":[20],"Barycenter":[21,26,48],"Contour":[22,27,49],"(EBcC)":[23],"Fisher":[25],"(FBcC)":[28],"techniques":[29],"are":[30],"presented":[31],"2D":[33],"classification.":[35],"The":[36,88,115],"utilizes":[38],"area":[40],"of":[41,47],"triangles":[42],"at":[43],"different":[44,143],"scale":[45],"level":[46],"(BcC).":[50],"However,":[51],"is":[53,64,107],"not":[54],"invariant":[55],"to":[56,109],"starting":[57],"point":[58],"selection,":[59],"so":[60],"phase":[62],"normalization":[63],"applied.":[65],"After":[66],"that,":[67],"we":[68],"linearly":[69],"project":[70],"feature":[73],"in":[74,98,136],"3D":[75],"format":[76],"onto":[77],"subspace":[79],"based":[80],"on":[81,141],"EBcC":[82,125],"technique":[83],"into":[84],"low":[85,99],"dimensional":[86,100],"subspace.":[87,101],"FBcC,":[89],"another":[90],"similar":[91],"method,":[92],"also":[93],"produces":[94],"well":[95],"separated":[96],"classes":[97],"Finally,":[102],"normalized":[104],"cross":[105],"correlation":[106],"used":[108],"measure":[110],"similarity":[112],"among":[113],"shapes.":[114],"experimental":[116],"results":[117],"demonstrate":[118],"that":[119],"FBcC":[121],"method":[122,126],"outperforms":[123],"achieves":[128],"high":[129],"retrieval":[130],"efficiency":[131],"over":[132],"other":[133],"recent":[134],"methods":[135],"literature":[138],"tests":[140],"three":[142],"databases,":[144],"affine":[146],"database,":[148],"MPEG-7":[150],"database":[151],"CE-1":[152],"part":[153],"B":[154],"Kimia's":[157],"database.":[158]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
