{"id":"https://openalex.org/W1969327620","doi":"https://doi.org/10.1002/ima.1850050304","title":"Part segmentation from stereo","display_name":"Part segmentation from stereo","publication_year":1994,"publication_date":"1994-09-01","ids":{"openalex":"https://openalex.org/W1969327620","doi":"https://doi.org/10.1002/ima.1850050304","mag":"1969327620"},"language":"en","primary_location":{"id":"doi:10.1002/ima.1850050304","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.1850050304","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","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/A5011874445","display_name":"L.-H. Chen","orcid":"https://orcid.org/0009-0007-5972-8417"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang\u2010Hua Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Fu Jen University, Hsinchuang, Taipei, Taiwan, R.O.C","Department of Computer Science and Information Engineering, Fu Jen University, HsinChuang, Taipei, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen University, Hsinchuang, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen University, HsinChuang, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552925","display_name":"Wei\u2010Chung Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei\u2010Chung Lin","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108538229","display_name":"Hong-Yuan Mark Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong\u2010Yuan Mark Liao","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Nankang, Taipei, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Nankang, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.5235,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64834648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"3","first_page":"206","last_page":"219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/segmentation","display_name":"Segmentation","score":0.8388793468475342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7620196342468262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144652009010315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7124139070510864},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6895247101783752},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.536766767501831},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.49877333641052246},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.49732568860054016},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49214404821395874},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48179739713668823},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.4563002288341522},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41595470905303955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40259718894958496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.152114599943161},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07183223962783813}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8388793468475342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7620196342468262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144652009010315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7124139070510864},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6895247101783752},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.536766767501831},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.49877333641052246},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.49732568860054016},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49214404821395874},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48179739713668823},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.4563002288341522},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41595470905303955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40259718894958496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.152114599943161},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07183223962783813},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/ima.1850050304","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.1850050304","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Imaging Systems and Technology","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":32,"referenced_works":["https://openalex.org/W1501418839","https://openalex.org/W1532977286","https://openalex.org/W1553514811","https://openalex.org/W1578510995","https://openalex.org/W1662838194","https://openalex.org/W1885177706","https://openalex.org/W1973522050","https://openalex.org/W1992700299","https://openalex.org/W2011984774","https://openalex.org/W2023751161","https://openalex.org/W2034469604","https://openalex.org/W2039005177","https://openalex.org/W2050405342","https://openalex.org/W2102071159","https://openalex.org/W2104775941","https://openalex.org/W2107541260","https://openalex.org/W2116137366","https://openalex.org/W2121203842","https://openalex.org/W2125756925","https://openalex.org/W2127171826","https://openalex.org/W2130755868","https://openalex.org/W2136937765","https://openalex.org/W2141128914","https://openalex.org/W2142821145","https://openalex.org/W2143402564","https://openalex.org/W2145023731","https://openalex.org/W2156267634","https://openalex.org/W2498631646","https://openalex.org/W2561838829","https://openalex.org/W2564527491","https://openalex.org/W2725845700","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W2945274617","https://openalex.org/W2790780243","https://openalex.org/W80586315","https://openalex.org/W2055202857","https://openalex.org/W2103507220","https://openalex.org/W1543922489","https://openalex.org/W2559983475"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"article":[2],"addresses":[3],"the":[4,19,37,57,63,70,92,103,106,122,137],"problem":[5],"of":[6,42,65,102,109,116,121,143,147],"segmenting":[7],"objects":[8],"into":[9,39,60,77],"parts":[10,79],"using":[11],"stereo":[12],"images.":[13,132],"There":[14],"are":[15],"three":[16],"components":[17],"in":[18],"part":[20,71,76,93],"segmentation":[21,34,94],"process:":[22],"surface":[23,33,86],"segmentation,":[24],"region":[25,47,53],"grouping,":[26],"and":[27,73,87,105,130,141],"volumetric":[28,66,88],"models":[29,67,89],"(superquadrics)":[30],"recovery/segmentation.":[31],"The":[32,52,119],"process":[35,55,64],"segments":[36,74],"image":[38],"a":[40,49,145],"set":[41],"regions":[43,59],"such":[44],"that":[45,75,115,136],"each":[46],"represents":[48],"smooth":[50],"surface.":[51],"grouping":[54],"merges":[56],"segmented":[58],"parts.":[61],"Finally":[62],"recovery/segmentation":[68],"recovers":[69],"model":[72],"smaller":[78],"if":[80],"necessary.":[81],"Because":[82],"we":[83,96],"use":[84],"both":[85],"to":[90],"drive":[91],"process,":[95],"can":[97],"capture":[98],"more":[99],"geometric":[100],"properties":[101],"object,":[104],"application":[107],"domain":[108],"our":[110],"approach":[111],"is":[112,125,139],"broader":[113],"than":[114],"previous":[117],"approaches.":[118],"performance":[120],"proposed":[123],"system":[124,138],"demonstrated":[126],"with":[127],"real":[128],"images":[129],"synthetic":[131],"Experimental":[133],"results":[134],"show":[135],"stable":[140],"capable":[142],"handling":[144],"variety":[146],"objects.\u00a91994":[148],"John":[149],"Wiley":[150],"&amp;":[151],"Sons":[152],"Inc":[153]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
