{"id":"https://openalex.org/W2152779284","doi":"https://doi.org/10.1109/icassp.2003.1202498","title":"Appearance-based neural image processing for 3-D object recognition and localization","display_name":"Appearance-based neural image processing for 3-D object recognition and localization","publication_year":2003,"publication_date":"2003-12-22","ids":{"openalex":"https://openalex.org/W2152779284","doi":"https://doi.org/10.1109/icassp.2003.1202498","mag":"2152779284"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1202498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202498","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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/A5065703201","display_name":"Chuan Yuan","orcid":"https://orcid.org/0000-0003-0406-5111"},"institutions":[{"id":"https://openalex.org/I4210110507","display_name":"Fraunhofer Institute for Applied Information Technology","ror":"https://ror.org/01ak24c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110507","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"C. Yuan","raw_affiliation_strings":["Fraunhofer Institute FIT, Schloss Birlinghoven, Sankt Augustin, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute FIT, Schloss Birlinghoven, Sankt Augustin, Germany","institution_ids":["https://openalex.org/I4210110507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037440468","display_name":"H. Niemann","orcid":"https://orcid.org/0000-0001-9940-415X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H. Niemann","raw_affiliation_strings":["Chair for Pattern Recognition, University Erlangen-Nu\u00fcnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair for Pattern Recognition, University Erlangen-Nu\u00fcnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065703201"],"corresponding_institution_ids":["https://openalex.org/I4210110507"],"apc_list":null,"apc_paid":null,"fwci":1.4188,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80398671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9961000084877014,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8225107192993164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7050696015357971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.641514241695404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6206669807434082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6181908249855042},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5509055852890015},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5220087170600891},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47850123047828674},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47098538279533386},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4277554750442505},{"id":"https://openalex.org/keywords/image-plane","display_name":"Image plane","score":0.41772329807281494},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.40026575326919556},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23852887749671936}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8225107192993164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7050696015357971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.641514241695404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6206669807434082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6181908249855042},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5509055852890015},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5220087170600891},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47850123047828674},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47098538279533386},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4277554750442505},{"id":"https://openalex.org/C120515352","wikidata":"https://www.wikidata.org/wiki/Q2564580","display_name":"Image plane","level":3,"score":0.41772329807281494},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.40026575326919556},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23852887749671936}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2003.1202498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1202498","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:2004954312","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/2004954312.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer FIT","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/343874","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/343874","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"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/W1555711139","https://openalex.org/W2044856236","https://openalex.org/W2107594197","https://openalex.org/W2123977795","https://openalex.org/W2135884851","https://openalex.org/W2160762193","https://openalex.org/W2165569124","https://openalex.org/W4232120557","https://openalex.org/W4388297464","https://openalex.org/W6675942084"],"related_works":["https://openalex.org/W2941415828","https://openalex.org/W2103507220","https://openalex.org/W4362672839","https://openalex.org/W3036032503","https://openalex.org/W1553168887","https://openalex.org/W2749186028","https://openalex.org/W2384611671","https://openalex.org/W1980697359","https://openalex.org/W4389543278","https://openalex.org/W2132007466"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"appearance-based":[4],"neural":[5,97,115],"image":[6],"processing":[7],"system":[8],"for":[9,101,119],"the":[10,18,23,67,81,106,120],"recognition":[11,102,121],"and":[12,25,34,42,89,122],"localization":[13,123],"of":[14,38,80,93,124,128],"3-D":[15],"objects.":[16],"All":[17],"objects":[19,47,68],"are":[20,48,69,134],"placed":[21],"on":[22,105],"table":[24],"can":[26],"be":[27],"moved":[28],"arbitrarily":[29],"around,":[30],"allowing":[31],"both":[32],"in-plane":[33],"out-of-plane":[35],"rotations.":[36],"Instead":[37],"doing":[39],"object":[40,43,110],"segmentation":[41],"specific":[44],"geometric":[45],"modeling,":[46],"directly":[49],"modeled":[50],"by":[51,76,113],"their":[52],"appearance.":[53],"First":[54],"a":[55,63,72,90,96,125],"principal":[56],"component":[57],"network":[58],"is":[59,99,111],"configured":[60,100],"to":[61],"generate":[62],"nonlinear":[64,78],"filter.":[65],"Then":[66],"represented":[70],"in":[71],"feature":[73,87,108],"vector":[74,88],"derived":[75],"hierarchical":[77],"filtering":[79],"input":[82],"image.":[83],"With":[84],"this":[85],"compact":[86],"small":[91],"set":[92],"training":[94],"samples,":[95],"classifier":[98],"purpose.":[103],"Based":[104],"same":[107],"vector,":[109],"localized":[112],"several":[114],"pose":[116],"estimators.":[117],"Results":[118],"large":[126],"number":[127],"real":[129],"images":[130],"under":[131],"heterogeneous":[132],"background":[133],"shown.":[135]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
