{"id":"https://openalex.org/W2562929005","doi":"https://doi.org/10.1109/icip.2016.7532803","title":"Shape matching using a self similar affine invariant descriptor","display_name":"Shape matching using a self similar affine invariant descriptor","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2562929005","doi":"https://doi.org/10.1109/icip.2016.7532803","mag":"2562929005"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5014398877","display_name":"Joonsoo Kim","orcid":"https://orcid.org/0000-0002-6470-0773"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joonsoo Kim","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317904","display_name":"He Li","orcid":"https://orcid.org/0000-0003-1152-5817"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012174478","display_name":"Jiaju Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaju Yue","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089688702","display_name":"Edward J. Delp","orcid":"https://orcid.org/0000-0002-2909-7323"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward J. Delp","raw_affiliation_strings":["Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA"],"affiliations":[{"raw_affiliation_string":"Video and Image Processing Laboratory (VIPER), Purdue University, West Lafayette, Indiana, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014398877"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59222649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3023","issue":null,"first_page":"2470","last_page":"2474"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9987999796867371,"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":0.991100013256073,"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":0.8812865614891052},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.6612124443054199},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.654664933681488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6085845232009888},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.597507655620575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5669466853141785},{"id":"https://openalex.org/keywords/harris-affine-region-detector","display_name":"Harris affine region detector","score":0.5496307015419006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5414509773254395},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5112700462341309},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44065141677856445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4352731704711914},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.43307697772979736},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.41565680503845215},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35998398065567017},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.338161438703537},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1016547679901123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05205130577087402}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8812865614891052},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.6612124443054199},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.654664933681488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6085845232009888},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.597507655620575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5669466853141785},{"id":"https://openalex.org/C6408098","wikidata":"https://www.wikidata.org/wiki/Q17021115","display_name":"Harris affine region detector","level":5,"score":0.5496307015419006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5414509773254395},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5112700462341309},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44065141677856445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4352731704711914},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.43307697772979736},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.41565680503845215},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35998398065567017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.338161438703537},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1016547679901123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05205130577087402},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":21,"referenced_works":["https://openalex.org/W1575129940","https://openalex.org/W1998945690","https://openalex.org/W2042701079","https://openalex.org/W2045915581","https://openalex.org/W2057175746","https://openalex.org/W2062800698","https://openalex.org/W2106404777","https://openalex.org/W2116668325","https://openalex.org/W2117564239","https://openalex.org/W2122934855","https://openalex.org/W2125310690","https://openalex.org/W2126491576","https://openalex.org/W2148659553","https://openalex.org/W2152106040","https://openalex.org/W2152262720","https://openalex.org/W2165414070","https://openalex.org/W2171490473","https://openalex.org/W2750727344","https://openalex.org/W6634364715","https://openalex.org/W6635898437","https://openalex.org/W6679167785"],"related_works":["https://openalex.org/W2038416447","https://openalex.org/W2077614002","https://openalex.org/W1969252010","https://openalex.org/W2016861691","https://openalex.org/W2165644674","https://openalex.org/W2162196222","https://openalex.org/W2773810497","https://openalex.org/W2372251801","https://openalex.org/W2180439206","https://openalex.org/W1934115635"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"introduce":[4],"a":[5],"shape":[6,17,61,77,107],"descriptor":[7,15,21,56],"known":[8],"as":[9],"Self":[10],"Similar":[11],"Affine":[12],"Invariant":[13],"(SSAI)":[14],"for":[16,88],"retrieval.":[18],"The":[19],"SSAI":[20,55,66,91],"is":[22,57],"based":[23,68],"on":[24,69,103],"the":[25,49,54,89],"property":[26],"that":[27,96],"two":[28,104],"sets":[29,71],"of":[30,40,43,72],"points":[31,44,74],"are":[32,45],"transformed":[33],"by":[34,48],"an":[35,83],"affine":[36,51],"transform,":[37],"then":[38],"subsets":[39],"each":[41],"set":[42],"also":[46,81],"related":[47],"same":[50],"transformation.":[52],"Also,":[53],"insensitive":[58],"to":[59,75],"local":[60],"distortions.":[62],"We":[63,80],"use":[64],"multiple":[65,90],"descriptors":[67],"different":[70],"neighbor":[73],"improve":[76],"recognition":[78],"accuracy.":[79],"describe":[82],"efficient":[84],"image":[85],"matching":[86],"method":[87],"descriptors.":[92],"Experimental":[93],"results":[94],"show":[95],"our":[97],"approach":[98],"achieves":[99],"very":[100],"good":[101],"performance":[102],"publicly":[105],"available":[106],"datasets.":[108]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}