{"id":"https://openalex.org/W2104434890","doi":"https://doi.org/10.1117/12.2043012","title":"Visual manifold sensing","display_name":"Visual manifold sensing","publication_year":2014,"publication_date":"2014-02-25","ids":{"openalex":"https://openalex.org/W2104434890","doi":"https://doi.org/10.1117/12.2043012","mag":"2104434890"},"language":"en","primary_location":{"id":"doi:10.1117/12.2043012","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2043012","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5004248557","display_name":"Irina Burciu","orcid":null},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Irina Burciu","raw_affiliation_strings":["Univ. of L\u00fcbeck (Germany)","University of L\u00fcbeck,Germany"],"affiliations":[{"raw_affiliation_string":"Univ. of L\u00fcbeck (Germany)","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"University of L\u00fcbeck,Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032755512","display_name":"Adrian Ion\u2010M\u0103rgineanu","orcid":"https://orcid.org/0000-0003-3788-2257"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adrian Ion-Margineanu","raw_affiliation_strings":["Univ. of L\u00fcbeck (Germany)","University of L\u00fcbeck,Germany"],"affiliations":[{"raw_affiliation_string":"Univ. of L\u00fcbeck (Germany)","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"University of L\u00fcbeck,Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014856404","display_name":"Thomas Martinetz","orcid":"https://orcid.org/0000-0002-4539-4475"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Martinetz","raw_affiliation_strings":["Univ. of L\u00fcbeck (Germany)","University of L\u00fcbeck,Germany"],"affiliations":[{"raw_affiliation_string":"Univ. of L\u00fcbeck (Germany)","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"University of L\u00fcbeck,Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021756032","display_name":"Erhardt Barth","orcid":"https://orcid.org/0000-0001-8556-2472"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erhardt Barth","raw_affiliation_strings":["Univ. of L\u00fcbeck (Germany)","University of L\u00fcbeck,Germany"],"affiliations":[{"raw_affiliation_string":"Univ. of L\u00fcbeck (Germany)","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"University of L\u00fcbeck,Germany","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004248557"],"corresponding_institution_ids":["https://openalex.org/I9341345"],"apc_list":null,"apc_paid":null,"fwci":0.9461,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75473473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9014","issue":null,"first_page":"90141B","last_page":"90141B"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9986000061035156,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7348929643630981},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.675951361656189},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6651975512504578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6468513011932373},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.632798433303833},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5826042294502258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525670647621155},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5492874383926392},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5292279720306396},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.49630552530288696},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4733177125453949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43874457478523254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4022409915924072},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39155271649360657},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.2744784355163574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11214396357536316},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07985782623291016}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7348929643630981},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.675951361656189},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6651975512504578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6468513011932373},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.632798433303833},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5826042294502258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525670647621155},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5492874383926392},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5292279720306396},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.49630552530288696},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4733177125453949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43874457478523254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4022409915924072},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39155271649360657},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2744784355163574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11214396357536316},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07985782623291016},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2043012","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2043012","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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":14,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1578196132","https://openalex.org/W1611034281","https://openalex.org/W2037090036","https://openalex.org/W2053186076","https://openalex.org/W2084357816","https://openalex.org/W2119667497","https://openalex.org/W2145012779","https://openalex.org/W2296616510","https://openalex.org/W2951380586","https://openalex.org/W4233548532","https://openalex.org/W4250955649","https://openalex.org/W6636370973","https://openalex.org/W6763907314"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2375795576","https://openalex.org/W2148415967","https://openalex.org/W122603882","https://openalex.org/W1505873999","https://openalex.org/W2103258858","https://openalex.org/W2010679820","https://openalex.org/W2166963679","https://openalex.org/W2056704125","https://openalex.org/W2114428029"],"abstract_inverted_index":{"We":[0,63],"present":[1],"a":[2,57,88,133,147,161],"novel":[3],"method,":[4],"Manifold":[5,65],"Sensing,":[6],"for":[7],"the":[8,12,31,44,107,113,118,124,127],"adaptive":[9],"sampling":[10,53],"of":[11,18,61,126],"visual":[13],"world":[14],"based":[15],"on":[16,43,70],"manifolds":[17],"increasing":[19],"but":[20],"low":[21,58],"dimensionality":[22],"that":[23,55,102],"have":[24],"been":[25],"learned":[26],"with":[27,80,136,139],"representative":[28],"data.":[29],"Because":[30],"data":[32],"set":[33],"is":[34,110,130],"adapted":[35],"during":[36],"sampling,":[37],"every":[38],"new":[39],"measurement":[40],"(sample)":[41],"depends":[42],"previously":[45],"acquired":[46],"measurements.":[47,62],"This":[48],"leads":[49],"to":[50,67,87],"an":[51,95],"efficient":[52],"strategy":[54],"requires":[56],"total":[59],"number":[60],"apply":[64],"Sensing":[66],"object":[68],"recognition":[69,119,163],"UMIST,":[71],"Robotics":[72],"Laboratory,":[73],"and":[74],"ALOI":[75],"benchmarks.":[76],"For":[77,132],"face":[78,97],"recognition,":[79],"only":[81,140],"30":[82],"measurements":[83,142],"-":[84,94,143,153],"this":[85,145],"corresponds":[86],"compression":[89,148],"ratio":[90,149],"greater":[91,150],"than":[92,151],"2000":[93],"unknown":[96],"can":[98],"be":[99],"localized":[100],"such":[101],"its":[103],"nearest":[104,115,128],"neighbor":[105,129],"in":[106,144],"low-dimensional":[108],"manifold":[109],"almost":[111],"always":[112],"actual":[114],"image.":[116],"Moreover,":[117],"rate":[120],"obtained":[121],"by":[122],"assigning":[123],"class":[125],"100%.":[131],"different":[134],"benchmark":[135],"everyday":[137],"objects,":[138],"38":[141],"case":[146],"700":[152],"we":[154],"obtain":[155],"similar":[156],"localization":[157],"results":[158],"and,":[159],"again,":[160],"100%":[162],"rate.":[164]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}