{"id":"https://openalex.org/W2626016652","doi":"https://doi.org/10.2312/gch.20161389","title":"Feature Identification in Archaeological Fragments Using Families of Algebraic Curves","display_name":"Feature Identification in Archaeological Fragments Using Families of Algebraic Curves","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2626016652","doi":"https://doi.org/10.2312/gch.20161389","mag":"2626016652"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:2536090","is_oa":true,"landing_page_url":"https://zenodo.org/record/2536090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/2536090","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003053478","display_name":"Maria-Laura Torrente","orcid":"https://orcid.org/0000-0001-8781-9278"},"institutions":[{"id":"https://openalex.org/I4210165157","display_name":"Confederazione Nazionale dell'Artigianato e Della Piccola e Media Impresa","ror":"https://ror.org/05fa80v88","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210165157"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Torrente, Maria-Laura","raw_affiliation_strings":["CNR, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"CNR, Italy#TAB#","institution_ids":["https://openalex.org/I4210165157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025286783","display_name":"Silvia Biasotti","orcid":"https://orcid.org/0000-0002-9992-825X"},"institutions":[{"id":"https://openalex.org/I4210165157","display_name":"Confederazione Nazionale dell'Artigianato e Della Piccola e Media Impresa","ror":"https://ror.org/05fa80v88","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210165157"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Biasotti, Silvia","raw_affiliation_strings":["CNR, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"CNR, Italy#TAB#","institution_ids":["https://openalex.org/I4210165157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044159817","display_name":"Bianca Falcidieno","orcid":"https://orcid.org/0000-0002-9522-2874"},"institutions":[{"id":"https://openalex.org/I4210165157","display_name":"Confederazione Nazionale dell'Artigianato e Della Piccola e Media Impresa","ror":"https://ror.org/05fa80v88","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210165157"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Falcidieno, Bianca","raw_affiliation_strings":["CNR, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"CNR, Italy#TAB#","institution_ids":["https://openalex.org/I4210165157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003053478"],"corresponding_institution_ids":["https://openalex.org/I4210165157"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9998999834060669,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9990000128746033,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7691879272460938},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6647454500198364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6583964824676514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6533703804016113},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5639396905899048},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.5531095266342163},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5352448225021362},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47840842604637146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4773274064064026},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.47560983896255493},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4680091440677643},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4393451511859894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.423069030046463},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.23780560493469238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22046434879302979},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08297905325889587}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7691879272460938},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6647454500198364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6583964824676514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533703804016113},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5639396905899048},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.5531095266342163},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5352448225021362},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47840842604637146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4773274064064026},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.47560983896255493},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4680091440677643},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4393451511859894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.423069030046463},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.23780560493469238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22046434879302979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08297905325889587},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:zenodo.org:2536090","is_oa":true,"landing_page_url":"https://zenodo.org/record/2536090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},{"id":"doi:10.2312/gch.20161389","is_oa":true,"landing_page_url":"https://doi.org/10.2312/gch.20161389","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:2536090","is_oa":true,"landing_page_url":"https://zenodo.org/record/2536090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1935189976","https://openalex.org/W1965230789","https://openalex.org/W1984490467","https://openalex.org/W2004601298","https://openalex.org/W2022182585","https://openalex.org/W2067164770","https://openalex.org/W2074180148","https://openalex.org/W2093608137","https://openalex.org/W2119429959","https://openalex.org/W2312461718","https://openalex.org/W2562836854","https://openalex.org/W3105241505"],"related_works":["https://openalex.org/W1901057238","https://openalex.org/W2046262063","https://openalex.org/W1777017274","https://openalex.org/W3099709482","https://openalex.org/W2261612769","https://openalex.org/W341094520","https://openalex.org/W2728183739","https://openalex.org/W2185303441","https://openalex.org/W2481627867","https://openalex.org/W2619671517","https://openalex.org/W2964245904","https://openalex.org/W2739633499","https://openalex.org/W2517665947","https://openalex.org/W3126547721","https://openalex.org/W2597385501","https://openalex.org/W2147679441","https://openalex.org/W2754474141","https://openalex.org/W1989573420","https://openalex.org/W2810401700","https://openalex.org/W1927297480"],"abstract_inverted_index":{"A":[0],"method":[1],"is":[2,31],"proposed":[3],"to":[4,48],"identify":[5],"and":[6,50,82],"localize":[7],"semantic":[8],"features":[9,23],"like":[10],"anatomical":[11],"characteristics":[12],"or":[13,18,27],"decorations":[14],"on":[15,33,63,78],"digital":[16,64],"artefacts":[17,68],"fragments,":[19],"even":[20],"if":[21],"the":[22,38,45,51,56,70,73],"are":[24,44],"partially":[25],"damaged":[26],"incomplete.":[28],"This":[29],"technique":[30],"based":[32],"a":[34],"novel":[35],"generalization":[36],"of":[37,58,66,72],"Hough":[39],"transform.":[40],"Its":[41],"major":[42],"advantages":[43],"relative":[46],"robustness":[47],"noise":[49],"recognition":[52],"power":[53],"also":[54],"in":[55],"case":[57],"partial":[59],"features.":[60],"Our":[61],"experiments":[62],"models":[65],"real":[67],"show":[69],"potential":[71],"method,":[74],"which":[75],"can":[76],"work":[77],"both":[79],"3D":[80],"meshes":[81],"point":[83],"clouds.":[84]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
