{"id":"https://openalex.org/W2113092041","doi":"https://doi.org/10.1109/icpr.2002.1044627","title":"Multi-scale auto-convolution for affine invariant pattern recognition","display_name":"Multi-scale auto-convolution for affine invariant pattern recognition","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2113092041","doi":"https://doi.org/10.1109/icpr.2002.1044627","mag":"2113092041"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5072890921","display_name":"Janne Heikkil\u00e4","orcid":"https://orcid.org/0000-0003-0073-0866"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"J. Heikkila","raw_affiliation_strings":["Machine Vision Group, Department of Electrical Engineering, University of Oulu, Finland","[Dept. of Electr. Eng., Oulu Univ., Finland]"],"affiliations":[{"raw_affiliation_string":"Machine Vision Group, Department of Electrical Engineering, University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Oulu Univ., Finland]","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072890921"],"corresponding_institution_ids":["https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":5.7873,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95990566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"119","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9968000054359436,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9962000250816345,"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":0.7697432041168213},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7548210620880127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6069433093070984},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.558078408241272},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5564068555831909},{"id":"https://openalex.org/keywords/top-hat-transform","display_name":"Top-hat transform","score":0.5406820774078369},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5138983726501465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5022590160369873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43064114451408386},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4154038727283478},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.4105374813079834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3903818726539612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3864981532096863},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36644890904426575},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3262825608253479},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.27160587906837463},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.20914754271507263},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14189991354942322},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08629181981086731},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07126420736312866},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.065277099609375}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7697432041168213},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7548210620880127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6069433093070984},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.558078408241272},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5564068555831909},{"id":"https://openalex.org/C180064427","wikidata":"https://www.wikidata.org/wiki/Q2880017","display_name":"Top-hat transform","level":5,"score":0.5406820774078369},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5138983726501465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5022590160369873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43064114451408386},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4154038727283478},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.4105374813079834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3903818726539612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3864981532096863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36644890904426575},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3262825608253479},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.27160587906837463},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.20914754271507263},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14189991354942322},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08629181981086731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07126420736312866},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.065277099609375},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1044627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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":10,"referenced_works":["https://openalex.org/W1823021686","https://openalex.org/W2118902001","https://openalex.org/W2121013500","https://openalex.org/W2128720178","https://openalex.org/W2150559991","https://openalex.org/W2154359228","https://openalex.org/W2159709546","https://openalex.org/W4237942293","https://openalex.org/W4248613739","https://openalex.org/W6829947826"],"related_works":["https://openalex.org/W4372260258","https://openalex.org/W2267589039","https://openalex.org/W2369791303","https://openalex.org/W2759540840","https://openalex.org/W2133280289","https://openalex.org/W2360069155","https://openalex.org/W2169963286","https://openalex.org/W4254230825","https://openalex.org/W2919798019","https://openalex.org/W2159795102"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,89],"novel":[4],"image":[5,22,31,45],"transform,":[6],"called":[7],"the":[8,20,36,44,57,71],"multi-scale":[9],"auto-convolution,":[10],"which":[11],"is":[12,38],"invariant":[13],"with":[14,87],"respect":[15],"to":[16,30],"affine":[17],"transformations":[18],"of":[19,43,48,70,79,92],"spatial":[21],"coordinates.":[23],"The":[24,73],"transform":[25,37,93],"can":[26,52,62,82],"be":[27,53,64,83],"applied":[28],"directly":[29],"patches":[32],"without":[33],"segmentation.":[34],"Algebraically,":[35],"simple":[39],"requiring":[40],"only":[41,88],"rescaling":[42],"and":[46],"computation":[47],"two-dimensional":[49],"convolutions":[50],"that":[51,77],"performed":[54,75],"efficiently":[55],"in":[56],"frequency":[58],"domain.":[59],"Similar":[60],"transforms":[61],"also":[63],"derived":[65],"for":[66],"other":[67],"linear":[68],"distortions":[69],"image.":[72],"experiments":[74],"show":[76],"classification":[78],"complex":[80],"patterns":[81],"carried":[84],"out":[85],"reliably":[86],"small":[90],"set":[91],"coefficients.":[94]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
