{"id":"https://openalex.org/W1553558465","doi":"https://doi.org/10.1007/bfb0015571","title":"Object recognition using multidimensional receptive field histograms","display_name":"Object recognition using multidimensional receptive field histograms","publication_year":1996,"publication_date":"1996-01-01","ids":{"openalex":"https://openalex.org/W1553558465","doi":"https://doi.org/10.1007/bfb0015571","mag":"1553558465"},"language":"en","primary_location":{"id":"doi:10.1007/bfb0015571","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bfb0015571","pdf_url":"https://link.springer.com/content/pdf/10.1007/BFb0015571.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/BFb0015571.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051534545","display_name":"Bernt Schiele","orcid":"https://orcid.org/0000-0001-9683-5237"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bernt Schiele","raw_affiliation_strings":["LIFIA/GRAVIR, 46 Ave F\u00e9lix Viallet, 38031, Grenoble, France","LIFIA/GRAVIR"],"affiliations":[{"raw_affiliation_string":"LIFIA/GRAVIR, 46 Ave F\u00e9lix Viallet, 38031, Grenoble, France","institution_ids":[]},{"raw_affiliation_string":"LIFIA/GRAVIR","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101989446","display_name":"James L. Crowley","orcid":"https://orcid.org/0000-0001-7730-8968"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James L. Crowley","raw_affiliation_strings":["LIFIA/GRAVIR, 46 Ave F\u00e9lix Viallet, 38031, Grenoble, France","LIFIA/GRAVIR"],"affiliations":[{"raw_affiliation_string":"LIFIA/GRAVIR, 46 Ave F\u00e9lix Viallet, 38031, Grenoble, France","institution_ids":[]},{"raw_affiliation_string":"LIFIA/GRAVIR","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051534545"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":12.9492,"has_fulltext":true,"cited_by_count":239,"citation_normalized_percentile":{"value":0.99328859,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"610","last_page":"619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9934999942779541,"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":0.9909999966621399,"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/histogram","display_name":"Histogram","score":0.7606679797172546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291845083236694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7037718296051025},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6751813292503357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.613281786441803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5716138482093811},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.549342691898346},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4441232681274414},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4392128884792328},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.43656715750694275},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4138960540294647},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20148926973342896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1828039288520813}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7606679797172546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291845083236694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7037718296051025},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6751813292503357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.613281786441803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5716138482093811},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.549342691898346},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4441232681274414},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4392128884792328},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.43656715750694275},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4138960540294647},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20148926973342896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1828039288520813},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/bfb0015571","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bfb0015571","pdf_url":"https://link.springer.com/content/pdf/10.1007/BFb0015571.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.42.19","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.19","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vision.ethz.ch/schiele/Papers/eccv96.ps.gz","raw_type":"text"},{"id":"pmh:oai:escidoc.org:escidoc:2056047","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0023-D054-0","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1007/bfb0015571","is_oa":true,"landing_page_url":"https://doi.org/10.1007/bfb0015571","pdf_url":"https://link.springer.com/content/pdf/10.1007/BFb0015571.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1553558465.pdf","grobid_xml":"https://content.openalex.org/works/W1553558465.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W168814958","https://openalex.org/W1603917934","https://openalex.org/W1991605728","https://openalex.org/W2018013893","https://openalex.org/W2102796633","https://openalex.org/W2131656657","https://openalex.org/W2135884851","https://openalex.org/W2160835070","https://openalex.org/W2170120409","https://openalex.org/W2914885528"],"related_works":["https://openalex.org/W2089544495","https://openalex.org/W2079003682","https://openalex.org/W1555021777","https://openalex.org/W2913266608","https://openalex.org/W2799648451","https://openalex.org/W1964918325","https://openalex.org/W2189496153","https://openalex.org/W2186491718","https://openalex.org/W2034008118","https://openalex.org/W2153276963"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}