{"id":"https://openalex.org/W2575449286","doi":"https://doi.org/10.1109/ipta.2016.7821012","title":"Using web images as additional training resource for the discriminative generalized hough transform","display_name":"Using web images as additional training resource for the discriminative generalized hough transform","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2575449286","doi":"https://doi.org/10.1109/ipta.2016.7821012","mag":"2575449286"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2016.7821012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2016.7821012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5044007800","display_name":"Alexander Oliver Mader","orcid":null},"institutions":[{"id":"https://openalex.org/I3133086891","display_name":"Hochschule f\u00fcr Angewandte Wissenschaften Kiel","ror":"https://ror.org/03q0ab227","country_code":"DE","type":"education","lineage":["https://openalex.org/I3133086891"]},{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Oliver Mader","raw_affiliation_strings":["Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany","institution_ids":["https://openalex.org/I3133086891","https://openalex.org/I32021983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108619783","display_name":"Hauke Schramm","orcid":"https://orcid.org/0009-0008-5963-5429"},"institutions":[{"id":"https://openalex.org/I3133086891","display_name":"Hochschule f\u00fcr Angewandte Wissenschaften Kiel","ror":"https://ror.org/03q0ab227","country_code":"DE","type":"education","lineage":["https://openalex.org/I3133086891"]},{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hauke Schramm","raw_affiliation_strings":["Department of Computer Science, Kiel University (CAU), Kiel, Germany","Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kiel University (CAU), Kiel, Germany","institution_ids":["https://openalex.org/I32021983"]},{"raw_affiliation_string":"Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany","institution_ids":["https://openalex.org/I3133086891","https://openalex.org/I32021983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037134235","display_name":"Carsten Meyer","orcid":"https://orcid.org/0000-0003-3927-5856"},"institutions":[{"id":"https://openalex.org/I3133086891","display_name":"Hochschule f\u00fcr Angewandte Wissenschaften Kiel","ror":"https://ror.org/03q0ab227","country_code":"DE","type":"education","lineage":["https://openalex.org/I3133086891"]},{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten Meyer","raw_affiliation_strings":["Department of Computer Science, Kiel University (CAU), Kiel, Germany","Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kiel University (CAU), Kiel, Germany","institution_ids":["https://openalex.org/I32021983"]},{"raw_affiliation_string":"Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany","institution_ids":["https://openalex.org/I3133086891","https://openalex.org/I32021983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15960703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9997000098228455,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9997000098228455,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9939000010490417,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9853000044822693,"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/discriminative-model","display_name":"Discriminative model","score":0.9211301803588867},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.8071140646934509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8051969408988953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.713302493095398},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5618384480476379},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4946877658367157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4686203598976135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4382798671722412},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4332846701145172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4313706159591675},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4261000454425812}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9211301803588867},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8071140646934509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051969408988953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713302493095398},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5618384480476379},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4946877658367157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4686203598976135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4382798671722412},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4332846701145172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4313706159591675},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4261000454425812},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2016.7821012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2016.7821012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1644040291","https://openalex.org/W1730931595","https://openalex.org/W1782590233","https://openalex.org/W2026566343","https://openalex.org/W2052355211","https://openalex.org/W2104241941","https://openalex.org/W2108598243","https://openalex.org/W2115733720","https://openalex.org/W2145023731","https://openalex.org/W2147483361","https://openalex.org/W2157096488","https://openalex.org/W2160225842","https://openalex.org/W2168518454","https://openalex.org/W2307585833","https://openalex.org/W4297730708","https://openalex.org/W6637015483","https://openalex.org/W6637339308","https://openalex.org/W6683352587","https://openalex.org/W6698532574"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2372868647"],"abstract_inverted_index":{"Many":[0],"algorithms":[1],"in":[2,32],"computer":[3],"vision,":[4],"e.g.,":[5],"for":[6,18,52],"object":[7,19],"localization,":[8,38],"are":[9],"supervised":[10],"and":[11,36,42,77,80],"need":[12],"annotated":[13],"training":[14,45,55,73],"data.":[15],"One":[16],"approach":[17],"localization":[20,89],"is":[21,47,102],"the":[22,40,54,72,93,105],"Discriminative":[23],"Generalized":[24],"Hough":[25,116],"Transform":[26],"(DGHT).":[27],"It":[28],"achieves":[29],"state-of-the-art":[30,144],"performance":[31],"applications":[33],"like":[34],"iris":[35],"epiphysis":[37],"if":[39],"amount":[41],"quality":[43],"of":[44,107,135],"data":[46],"sufficient.":[48],"This":[49],"motivates":[50],"techniques":[51],"extending":[53],"corpus":[56,74],"with":[57],"limited":[58],"manual":[59,94,133],"effort.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"an":[66,120],"active":[67],"learning":[68],"scheme":[69],"to":[70,96,103,131],"extend":[71],"by":[75,113],"automatically":[76],"efficiently":[78],"harvesting":[79],"selecting":[81],"suitable":[82],"Web":[83,111,136],"images.":[84],"We":[85,124],"aim":[86],"at":[87],"improving":[88],"performance,":[90],"while":[91],"reducing":[92],"supervision":[95],"a":[97,108,132,141],"minimum.":[98],"Our":[99],"key":[100],"idea":[101],"estimate":[104],"benefit":[106],"particular":[109],"candidate":[110],"image":[112],"analyzing":[114],"its":[115],"space":[117],"generated":[118],"using":[119],"initial":[121],"DGHT":[122],"model.":[123],"show":[125],"that":[126],"our":[127],"method":[128],"performs":[129],"similarly":[130],"selection":[134],"images":[137],"as":[138,140],"well":[139],"computationally":[142],"intensive":[143],"approach.":[145]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
