{"id":"https://openalex.org/W4386076166","doi":"https://doi.org/10.1109/cvpr52729.2023.01638","title":"In-Hand 3D Object Scanning from an RGB Sequence","display_name":"In-Hand 3D Object Scanning from an RGB Sequence","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386076166","doi":"https://doi.org/10.1109/cvpr52729.2023.01638"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01638","doi":"https://doi.org/10.1109/cvpr52729.2023.01638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01638","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.16193","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014583447","display_name":"Shreyas Hampali","orcid":"https://orcid.org/0009-0007-3951-0832","observed_orcids":["https://orcid.org/0009-0007-3951-0832"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shreyas Hampali","raw_affiliation_strings":["Reality Labs at Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reality Labs at Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021750947","display_name":"Tom\u00e1\u0161 Hoda\u0148","orcid":"https://orcid.org/0000-0003-0576-9997","observed_orcids":["https://orcid.org/0000-0003-0576-9997"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomas Hodan","raw_affiliation_strings":["Reality Labs at Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reality Labs at Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499997","display_name":"Luan Tran","orcid":"https://orcid.org/0000-0002-7015-6188","observed_orcids":["https://orcid.org/0000-0002-7015-6188"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luan Tran","raw_affiliation_strings":["Reality Labs at Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reality Labs at Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110921670","display_name":"Lingni Ma","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingni Ma","raw_affiliation_strings":["Reality Labs at Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reality Labs at Meta","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102363948","display_name":"Cem Keskin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cem Keskin","raw_affiliation_strings":["Reality Labs at Meta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reality Labs at Meta","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070382607","display_name":"Vincent Lepetit","orcid":"https://orcid.org/0000-0001-9985-4433","observed_orcids":["https://orcid.org/0000-0001-9985-4433"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I2800365227","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227","https://openalex.org/I4210154111"]}],"countries":["AT","FR"],"is_corresponding":false,"raw_author_name":"Vincent Lepetit","raw_affiliation_strings":["LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vall&#x00E9;e,France","Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vall&#x00E9;e,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210152518","https://openalex.org/I4210154111"]},{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5487,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8600376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"17079","last_page":"17088"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.008200000040233135,"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":0.002199999988079071,"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/neural-implicit-surfaces","display_name":"neural implicit surfaces","score":0.8029999732971191},{"id":"https://openalex.org/keywords/neural-radiance-fields","display_name":"neural radiance fields","score":0.8759999871253967},{"id":"https://openalex.org/keywords/camera-pose-tracking","display_name":"camera pose tracking","score":0.6370000243186951},{"id":"https://openalex.org/keywords/incremental-optimization","display_name":"incremental optimization","score":0.46700000762939453},{"id":"https://openalex.org/keywords/textureless-objects","display_name":"textureless objects","score":0.7919999957084656},{"id":"https://openalex.org/keywords/color-reconstruction","display_name":"color reconstruction","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8264389038085938},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.80422043800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966784596443176},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6434609889984131},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6197194457054138},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5060703158378601},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4119247496128082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33135151863098145},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","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":4,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01638","doi":"https://doi.org/10.1109/cvpr52729.2023.01638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01638","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2211.16193","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.16193","pdf_url":"https://arxiv.org/pdf/2211.16193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-04323124v1","doi":null,"is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04323124","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2023, Vancouver, Canada. &#x27E8;10.1109/cvpr52729.2023.01638&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2211.16193","doi":"https://doi.org/10.48550/arxiv.2211.16193","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2211.16193","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.16193","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.16193","pdf_url":"https://arxiv.org/pdf/2211.16193","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386076166.pdf","grobid_xml":"https://content.openalex.org/works/W4386076166.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1490482062","https://openalex.org/W1528630896","https://openalex.org/W1572666543","https://openalex.org/W2028310195","https://openalex.org/W2063849031","https://openalex.org/W2108598243","https://openalex.org/W2118428504","https://openalex.org/W2129404737","https://openalex.org/W2129690990","https://openalex.org/W2156598602","https://openalex.org/W2214920451","https://openalex.org/W2247810280","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2904383797","https://openalex.org/W2909750748","https://openalex.org/W2935836316","https://openalex.org/W2960305679","https://openalex.org/W2963188159","https://openalex.org/W2969177478","https://openalex.org/W2971252756","https://openalex.org/W2980257569","https://openalex.org/W2990026901","https://openalex.org/W2994725031","https://openalex.org/W2995007867","https://openalex.org/W2997017298","https://openalex.org/W3035269921","https://openalex.org/W3094088110","https://openalex.org/W3098312772","https://openalex.org/W3104101490","https://openalex.org/W3109585842","https://openalex.org/W3127246939","https://openalex.org/W3130983693","https://openalex.org/W3156022514","https://openalex.org/W3175439532","https://openalex.org/W3177292376","https://openalex.org/W3196570390","https://openalex.org/W3204752575","https://openalex.org/W4200150166","https://openalex.org/W4200408424","https://openalex.org/W4200578307","https://openalex.org/W4226142324","https://openalex.org/W4233857083","https://openalex.org/W4286611058","https://openalex.org/W4311134570","https://openalex.org/W4312331262","https://openalex.org/W4312424618","https://openalex.org/W4385482704","https://openalex.org/W6745401828","https://openalex.org/W6805271788","https://openalex.org/W6811138194","https://openalex.org/W7133235045"],"related_works":["https://openalex.org/W2214920451","https://openalex.org/W4401414041","https://openalex.org/W4393158918","https://openalex.org/W4413156930","https://openalex.org/W2969177478","https://openalex.org/W6960883138","https://openalex.org/W4312331262","https://openalex.org/W2903555784","https://openalex.org/W4311134570","https://openalex.org/W4312597750"],"abstract_inverted_index":{"We":[0,106,129],"propose":[1,83],"a":[2,13,20,126],"method":[3,17,133],"for":[4],"in-hand":[5],"3D":[6],"scanning":[7],"of":[8,33,142],"an":[9,84],"unknown":[10],"object":[11,60,109],"with":[12,39],"monocular":[14],"camera.":[15],"Our":[16],"relies":[18],"on":[19,155],"neural":[21],"implicit":[22],"surface":[23],"representation":[24],"that":[25,47,87,131,152,159,167],"captures":[26],"both":[27,58,143],"the":[28,31,34,48,59,63,91,100,108,122,138],"geometry":[29],"and":[30,62,72,111,140,145,158],"appearance":[32,156],"object,":[35],"however,":[36],"by":[37,89],"contrast":[38],"most":[40],"NeRF-based":[41],"methods,":[42],"we":[43,55,82],"do":[44],"not":[45],"assume":[46,168],"camera-object":[49],"relative":[50],"poses":[51,114],"are":[52],"known.":[53],"Instead,":[54],"simultaneously":[56],"optimize":[57],"shape":[61,71,110,139],"pose":[64,73],"trajectory.":[65],"As":[66],"direct":[67],"optimization":[68,101],"over":[69],"all":[70,121],"parameters":[74],"is":[75,102,134,162],"prone":[76],"to":[77,104,136,164],"fail":[78],"without":[79],"coarse-level":[80],"initialization,":[81],"incremental":[85],"approach":[86],"starts":[88],"splitting":[90],"sequence":[92],"into":[93],"carefully":[94],"selected":[95],"overlapping":[96],"segments":[97,123],"within":[98,116],"which":[99],"likely":[103],"succeed.":[105],"reconstruct":[107,137],"track":[112],"its":[113,160],"independently":[115],"each":[117],"segment,":[118],"then":[119],"merge":[120],"before":[124],"performing":[125],"global":[127],"optimization.":[128],"show":[130],"our":[132],"able":[135],"color":[141],"textured":[144],"challenging":[146],"texture-less":[147],"objects,":[148],"outperforms":[149],"classical":[150],"methods":[151,166],"rely":[153],"only":[154],"features,":[157],"performance":[161],"close":[163],"recent":[165],"known":[169],"camera":[170],"poses.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-08-23T00:00:00"}
