{"id":"https://openalex.org/W3214048542","doi":"https://doi.org/10.1109/mfi52462.2021.9591162","title":"Segmentation of Stereo-Camera Depth Image into Planar Regions based on Evolving Principal Component Clustering","display_name":"Segmentation of Stereo-Camera Depth Image into Planar Regions based on Evolving Principal Component Clustering","publication_year":2021,"publication_date":"2021-09-23","ids":{"openalex":"https://openalex.org/W3214048542","doi":"https://doi.org/10.1109/mfi52462.2021.9591162","mag":"3214048542"},"language":"en","primary_location":{"id":"doi:10.1109/mfi52462.2021.9591162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5072322688","display_name":"Milo\u0161 Anti\u0107","orcid":"https://orcid.org/0000-0002-5737-2492"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Milos Antic","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037139063","display_name":"Andrej Zde\u0161ar","orcid":"https://orcid.org/0000-0002-2254-6069"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Andrej Zdesar","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040998302","display_name":"Igor \u0160krjanc","orcid":"https://orcid.org/0000-0002-0502-5376"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Igor Skrjanc","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072322688"],"corresponding_institution_ids":["https://openalex.org/I153976015"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15047386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9977999925613403,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9969000220298767,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7622866630554199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379021644592285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261383533477783},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6455745697021484},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6444742679595947},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5762746334075928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5539384484291077},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5411415100097656},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4913908541202545},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4835059940814972},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4743322730064392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44354793429374695},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4199025332927704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3210696876049042}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7622866630554199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379021644592285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261383533477783},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6455745697021484},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6444742679595947},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5762746334075928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5539384484291077},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5411415100097656},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4913908541202545},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4835059940814972},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4743322730064392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44354793429374695},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4199025332927704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3210696876049042},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi52462.2021.9591162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi52462.2021.9591162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8436821565","display_name":null,"funder_award_id":"P2-0219","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1974874329","https://openalex.org/W1977306091","https://openalex.org/W1982194589","https://openalex.org/W2163741929","https://openalex.org/W2240066130","https://openalex.org/W2591119809","https://openalex.org/W2769336468","https://openalex.org/W2792376557","https://openalex.org/W2924208166","https://openalex.org/W2929291387","https://openalex.org/W2944009257","https://openalex.org/W2965102510","https://openalex.org/W2965794323","https://openalex.org/W2966015075","https://openalex.org/W2982281873","https://openalex.org/W2991512114","https://openalex.org/W6766440455"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"planar":[5],"segmentation":[6,31,53],"of":[7,30,65,90,95],"a":[8,106],"depth":[9,107],"image":[10],"using":[11],"evolving":[12,58],"principal":[13],"component":[14],"clustering":[15,50],"(EPCC).":[16],"We":[17],"exploit":[18],"spatial":[19],"point":[20],"locality":[21],"in":[22],"ordered":[23],"data":[24,72,84,91],"streams":[25],"to":[26,69,82,86],"simplify":[27],"the":[28,49,83,87,96],"development":[29],"algorithms":[32],"and":[33,45,55,63,80],"speed":[34],"up":[35],"their":[36],"operation.":[37],"Experimental":[38],"work":[39],"has":[40],"confirmed":[41],"that":[42],"modelling":[43],"noise":[44],"incorporating":[46],"it":[47],"into":[48],"process":[51],"increases":[52],"performance":[54,94],"accuracy.":[56],"The":[57,74,93],"approach":[59],"enables":[60,77],"single-pass":[61],"learning":[62],"self-adaptation":[64],"linear":[66],"prototypes":[67],"used":[68],"describe":[70],"specific":[71],"regions.":[73],"proposed":[75,97],"algorithm":[76],"robust":[78],"operation":[79],"adapts":[81],"due":[85],"recursive":[88],"estimation":[89],"variance.":[92],"method":[98],"is":[99],"demonstrated":[100],"on":[101],"real":[102],"measurements":[103],"obtained":[104],"with":[105],"camera.":[108]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}