{"id":"https://openalex.org/W2095482247","doi":"https://doi.org/10.1016/s0923-5965(96)00006-9","title":"Scene segmentation from dense displacement vector fields using randomized Hough transform","display_name":"Scene segmentation from dense displacement vector fields using randomized Hough transform","publication_year":1996,"publication_date":"1996-11-01","ids":{"openalex":"https://openalex.org/W2095482247","doi":"https://doi.org/10.1016/s0923-5965(96)00006-9","mag":"2095482247"},"language":"en","primary_location":{"id":"doi:10.1016/s0923-5965(96)00006-9","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0923-5965(96)00006-9","pdf_url":null,"source":{"id":"https://openalex.org/S38090728","display_name":"Signal Processing Image Communication","issn_l":"0923-5965","issn":["0923-5965","1879-2677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing: Image Communication","raw_type":"journal-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/A5078781579","display_name":"Silko Kruse","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"S.-M. Kruse","raw_affiliation_strings":["Heinrich-Hertz-Institut f\u00fcr Nachrichtentechnik GmbH, Einsteinufer 37, D-10587 Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Heinrich-Hertz-Institut f\u00fcr Nachrichtentechnik GmbH, Einsteinufer 37, D-10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078781579"],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":{"value":2330,"currency":"USD","value_usd":2330},"apc_paid":null,"fwci":1.4924,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84699349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"1","first_page":"29","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":1.0,"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":1.0,"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":0.9958999752998352,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9955000281333923,"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/hough-transform","display_name":"Hough transform","score":0.8048877716064453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7148042321205139},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6489570736885071},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6186830401420593},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6115885972976685},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5755774974822998},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.572515070438385},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4964795708656311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.472112774848938},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47124677896499634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46076372265815735},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4380723237991333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42475777864456177},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10960474610328674},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.06579115986824036}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8048877716064453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7148042321205139},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6489570736885071},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6186830401420593},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6115885972976685},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5755774974822998},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.572515070438385},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4964795708656311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.472112774848938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47124677896499634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46076372265815735},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4380723237991333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42475777864456177},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10960474610328674},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.06579115986824036},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/s0923-5965(96)00006-9","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0923-5965(96)00006-9","pdf_url":null,"source":{"id":"https://openalex.org/S38090728","display_name":"Signal Processing Image Communication","issn_l":"0923-5965","issn":["0923-5965","1879-2677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing: Image Communication","raw_type":"journal-article"},{"id":"pmh:oai:fraunhofer.de:N-13300","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-13300.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 HHI","raw_type":"Journal Article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/189496","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/189496","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":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1598154926","https://openalex.org/W1615897225","https://openalex.org/W1979128482","https://openalex.org/W1997866406","https://openalex.org/W2004491626","https://openalex.org/W2009953720","https://openalex.org/W2021126672","https://openalex.org/W2024298659","https://openalex.org/W2026131180","https://openalex.org/W2038766538","https://openalex.org/W2043003144","https://openalex.org/W2044061768","https://openalex.org/W2046496933","https://openalex.org/W2053532381","https://openalex.org/W2085417796","https://openalex.org/W2095905764","https://openalex.org/W2101306761","https://openalex.org/W2114055431","https://openalex.org/W2116367120","https://openalex.org/W2164879561","https://openalex.org/W2166800185","https://openalex.org/W2168962753","https://openalex.org/W2170120409","https://openalex.org/W4237972181","https://openalex.org/W4241476558","https://openalex.org/W6636010738","https://openalex.org/W6675189731","https://openalex.org/W6677142042","https://openalex.org/W6684215482","https://openalex.org/W6684250821"],"related_works":["https://openalex.org/W2112506753","https://openalex.org/W2008444830","https://openalex.org/W2804375118","https://openalex.org/W1495937069","https://openalex.org/W2132110568","https://openalex.org/W2029809897","https://openalex.org/W2160831725","https://openalex.org/W4233585817","https://openalex.org/W1581673580","https://openalex.org/W1522441193"],"abstract_inverted_index":null,"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}