{"id":"https://openalex.org/W2172059286","doi":"https://doi.org/10.1142/s0218001492000461","title":"INTEGRA \u2014 AN INTEGRATED SYSTEM FOR RANGE IMAGE UNDERSTANDING","display_name":"INTEGRA \u2014 AN INTEGRATED SYSTEM FOR RANGE IMAGE UNDERSTANDING","publication_year":1992,"publication_date":"1992-12-01","ids":{"openalex":"https://openalex.org/W2172059286","doi":"https://doi.org/10.1142/s0218001492000461","mag":"2172059286"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001492000461","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001492000461","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5111655773","display_name":"Suchendra M. Bhandarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"SUCHENDRA M. BHANDARKAR","raw_affiliation_strings":["Department of Computer Science, 415 Graduate Studies Research Center, University of Georgia, Athens, GA 30602, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, 415 Graduate Studies Research Center, University of Georgia, Athens, GA 30602, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011890757","display_name":"Andreas Siebert","orcid":"https://orcid.org/0009-0002-5144-1482"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ANDREAS SIEBERT","raw_affiliation_strings":["Artificial Intelligence Programs, 111 Graduate Studies Research Center, University of Georgia, Athens, GA 30602, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Programs, 111 Graduate Studies Research Center, University of Georgia, Athens, GA 30602, USA","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63912081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"06","issue":"05","first_page":"913","last_page":"953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9966999888420105,"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":0.9948999881744385,"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":0.747686505317688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022489309310913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6950395703315735},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.623221218585968},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5391585826873779},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4964748024940491},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49457642436027527},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.43874433636665344},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42449796199798584},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4210507571697235},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.41849592328071594},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.41401591897010803},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41335922479629517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3912794291973114},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36825329065322876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35694801807403564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19449985027313232},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07379207015037537}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.747686505317688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022489309310913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6950395703315735},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.623221218585968},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5391585826873779},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4964748024940491},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49457642436027527},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.43874433636665344},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42449796199798584},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4210507571697235},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.41849592328071594},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.41401591897010803},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41335922479629517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3912794291973114},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36825329065322876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35694801807403564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19449985027313232},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07379207015037537},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001492000461","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001492000461","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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":0,"referenced_works":[],"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/W3017192027"],"abstract_inverted_index":{"Segmentation,":[0],"feature":[1],"extraction,":[2],"recognition":[3,165],"and":[4,33,57,62,86,122,142,155,166,171,193,204],"localization":[5,156,167],"are":[6,208,214],"the":[7,48,84,99,102,106,144,153,174],"four":[8],"stages":[9,23,69,104],"in":[10,24,47,52,105,128,152,173],"range":[11,17,91,200],"image":[12,18,74,92,107],"understanding.":[13],"Conventional":[14],"approaches":[15,41],"to":[16,44,55,77,97,146,164,179,212],"understanding":[19,75,93,108],"have":[20,42,134],"treated":[21],"these":[22,36,67],"isolation":[25],"with":[26,137,182],"a":[27,90],"largely":[28],"bottom-up":[29,40],"flow":[30],"of":[31,50,66,88,113,120,139,168,176,185],"control":[32],"data":[34],"through":[35],"various":[37,68,103],"stages.":[38,157],"Strictly":[39],"proved":[43],"be":[45],"fragile":[46],"face":[49],"errors":[51,148],"segmentation":[53,124,131,151],"due":[54],"noise":[56],"limitations":[58],"on":[59,198],"sensor":[60],"resolution":[61],"accuracy.":[63],"Synergetic":[64],"interaction":[65],"is":[70,162,172],"essential":[71],"for":[72],"an":[73],"system":[76,94],"exhibit":[78],"robust":[79],"behavior.":[80],"This":[81],"paper":[82],"describes":[83],"design":[85],"implementation":[87],"INTEGRA,":[89],"that":[95,126],"attempts":[96],"exploit":[98],"synergy":[100],"between":[101],"process.":[109],"The":[110],"salient":[111],"features":[112],"INTEGRA":[114,158,213],"are:":[115],"(i)":[116],"A":[117],"synergetic":[118],"combination":[119],"edge-":[121],"surface-based":[123],"processes":[125],"results":[127,197],"more":[129],"accurate":[130],"than":[132],"would":[133],"been":[135],"possible":[136],"either":[138],"them":[140],"alone":[141],"(ii)":[143],"ability":[145],"correct":[147],"made":[149],"during":[150],"matching":[154],"at":[159],"this":[160],"time,":[161],"limited":[163],"polyhedral":[169,206],"objects":[170,181,207],"process":[175],"being":[177],"enhanced":[178],"handle":[180],"curved":[183],"surfaces":[184],"quadratic":[186],"order":[187],"such":[188],"as":[189],"spherical,":[190],"ellipsoidal,":[191],"cylindrical,":[192],"conical":[194],"surfaces.":[195],"Experimental":[196],"real":[199],"images":[201],"containing":[202],"single":[203],"multiple":[205],"presented.":[209],"Future":[210],"enhancements":[211],"discussed.":[215]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
