{"id":"https://openalex.org/W4384517777","doi":"https://doi.org/10.1109/cbms58004.2023.00189","title":"Three-Dimensional Wound Reconstruction using Point Descriptors: A Comparative Study","display_name":"Three-Dimensional Wound Reconstruction using Point Descriptors: A Comparative Study","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4384517777","doi":"https://doi.org/10.1109/cbms58004.2023.00189"},"language":"en","primary_location":{"id":"doi:10.1109/cbms58004.2023.00189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms58004.2023.00189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)","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/A5112961192","display_name":"Jos\u00e9 R. A. Souto","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 R. A. Souto","raw_affiliation_strings":["Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte,Natal,Brazil","Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte,Natal,Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068359471","display_name":"Fellipe M. C. Barbosa","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fellipe M. C. Barbosa","raw_affiliation_strings":["Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte,Natal,Brazil","Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte,Natal,Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Graduate Program in Systems and Computing, Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059024357","display_name":"Bruno M. Carvalho","orcid":"https://orcid.org/0000-0002-9122-0257"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno M. Carvalho","raw_affiliation_strings":["Federal University of Rio Grande do Norte,Department of Informatics and Applied Mathematics,Natal,Brazil","Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte,Department of Informatics and Applied Mathematics,Natal,Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112961192"],"corresponding_institution_ids":["https://openalex.org/I35046152"],"apc_list":null,"apc_paid":null,"fwci":0.8278,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7665156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10771","display_name":"Wound Healing and Treatments","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8490076661109924},{"id":"https://openalex.org/keywords/freak","display_name":"FREAK","score":0.7467095851898193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5893120169639587},{"id":"https://openalex.org/keywords/orb","display_name":"Orb (optics)","score":0.5675497055053711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.542984664440155},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4967659115791321},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4848557710647583},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.481525719165802},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4371633231639862},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.23615583777427673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22298073768615723},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20765313506126404},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09501957893371582}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8490076661109924},{"id":"https://openalex.org/C2776717989","wikidata":"https://www.wikidata.org/wiki/Q19410276","display_name":"FREAK","level":2,"score":0.7467095851898193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5893120169639587},{"id":"https://openalex.org/C108260229","wikidata":"https://www.wikidata.org/wiki/Q47023","display_name":"Orb (optics)","level":3,"score":0.5675497055053711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.542984664440155},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4967659115791321},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4848557710647583},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.481525719165802},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4371633231639862},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.23615583777427673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22298073768615723},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20765313506126404},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09501957893371582},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms58004.2023.00189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms58004.2023.00189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1677409904","https://openalex.org/W1995266040","https://openalex.org/W2008073424","https://openalex.org/W2034962303","https://openalex.org/W2054672934","https://openalex.org/W2056064788","https://openalex.org/W2071988303","https://openalex.org/W2075238304","https://openalex.org/W2085261163","https://openalex.org/W2110185449","https://openalex.org/W2111308925","https://openalex.org/W2117137845","https://openalex.org/W2117228865","https://openalex.org/W2118430984","https://openalex.org/W2130103520","https://openalex.org/W2151103935","https://openalex.org/W2313421247","https://openalex.org/W2581581263","https://openalex.org/W2898800333","https://openalex.org/W2911043477","https://openalex.org/W2996242756","https://openalex.org/W3081917531","https://openalex.org/W3117660147","https://openalex.org/W3139358517","https://openalex.org/W4238767840","https://openalex.org/W4385490375","https://openalex.org/W6631975384","https://openalex.org/W6652231383","https://openalex.org/W6757766070"],"related_works":["https://openalex.org/W3103148063","https://openalex.org/W2794556651","https://openalex.org/W4205482147","https://openalex.org/W2608415972","https://openalex.org/W2763213405","https://openalex.org/W2585962417","https://openalex.org/W3113227206","https://openalex.org/W1951615866","https://openalex.org/W4287556211","https://openalex.org/W4312069198"],"abstract_inverted_index":{"Precise":[0],"measurements":[1],"of":[2,13,22,118,127,142,166,171,177],"chronic":[3],"wound":[4,37,73,158],"areas":[5,38,176],"are":[6],"very":[7],"important":[8],"for":[9,34,104,206],"measuring":[10,35,52,86],"the":[11,23,36,53,63,81,85,92,95,105,116,140,156,178,193,203],"efficacy":[12],"different":[14,57,77,175],"treatments,":[15],"since":[16,209],"it":[17,67,210],"provides":[18],"a":[19,128,197],"clear":[20],"picture":[21],"chosen":[24],"treatment":[25],"evolution.":[26],"The":[27,180],"most":[28],"used":[29,145],"techniques":[30],"still":[31],"in":[32,55,155],"use":[33,117],"involve":[39],"manual":[40],"measuring,":[41],"paper":[42],"scales":[43],"and/or":[44],"acetate":[45],"tracing,":[46],"with":[47,62,91],"each":[48],"health":[49,78],"professional":[50],"possibly":[51,101],"wounds":[54,169],"slightly":[56],"ways,":[58],"specially":[59],"when":[60,161],"dealing":[61],"wound's":[64,129],"depth.":[65],"Thus,":[66],"is":[68,115,196,211],"common":[69],"to":[70,123,163],"observe":[71],"inconsistent":[72],"area":[74,190],"estimations":[75],"by":[76],"workers":[79],"on":[80,174],"same":[82],"wounds.":[83],"Moreover,":[84],"process":[87],"requires":[88],"direct":[89],"contact":[90],"wound,":[93],"increasing":[94],"contamination":[96],"and":[97,131,153,186,214,220],"infection":[98],"risks,":[99],"besides":[100],"causing":[102],"discomfort":[103],"patient.":[106],"An":[107],"alternative":[108],"that":[109,133,183],"has":[110],"already":[111],"been":[112],"proved":[113],"successful":[114],"Structure":[119],"from":[120],"Motion":[121],"(SfM)":[122],"recover":[124],"three-dimensional":[125],"representations":[126],"surface":[130],"estimate":[132],"area.":[134],"In":[135],"this":[136],"work,":[137],"we":[138,199],"analyze":[139],"effectiveness":[141],"several":[143],"widely":[144],"point":[146],"descriptors":[147],"(BRIEF,":[148],"DRINK,":[149],"FREAK,":[150],"ORB,":[151],"SIFT":[152,219],"SURF)":[154],"SfM":[157],"reconstruction":[159],"task":[160],"applied":[162],"real":[164],"images":[165],"realistic":[167],"synthetic":[168],"made":[170],"latex":[172],"placed":[173],"body.":[179],"results":[181],"showed":[182],"SIFT,":[184],"SURF":[185],"DRINK":[187,201],"produced":[188],"better":[189],"estimates.":[191],"Since":[192],"execution":[194],"time":[195],"factor,":[198],"selected":[200],"as":[202],"standard":[204],"descriptor":[205],"our":[207],"system,":[208],"approximately":[212],"9.3":[213],"4.9":[215],"times":[216],"faster":[217],"than":[218],"SURF,":[221],"respectively.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
