{"id":"https://openalex.org/W7098495651","doi":null,"title":"On Being the Right Scale: Sizing Large Collections of 3D Models","display_name":"On Being the Right Scale: Sizing Large Collections of 3D Models","publication_year":2015,"publication_date":"2015-10-20","ids":{"openalex":"https://openalex.org/W7098495651"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.3688","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.3688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.stanford.edu/projects/sizes/sizes.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5091765070","display_name":"Manolis Savva","orcid":"https://orcid.org/0000-0001-6132-8964","observed_orcids":["https://orcid.org/0000-0001-6132-8964"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manolis Savva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Angel X. Chang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angel X. Chang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034400503","display_name":"Gilbert Bernstein","orcid":"https://orcid.org/0000-0002-3016-1169","observed_orcids":["https://orcid.org/0000-0002-3016-1169"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gilbert Bernstein","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046006076","display_name":"Christopher D. Manning","orcid":"https://orcid.org/0000-0001-6155-649X","observed_orcids":["https://orcid.org/0000-0001-6155-649X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher D. Manning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5018111215","display_name":"Pat Hanrahan","orcid":"https://orcid.org/0000-0002-3474-9752","observed_orcids":["https://orcid.org/0000-0002-3474-9752"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pat Hanrahan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51449602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.012000000104308128,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.007400000002235174,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/size-estimation","display_name":"size estimation","score":0.628000020980835},{"id":"https://openalex.org/keywords/physical-plausibility","display_name":"physical plausibility","score":0.6980000138282776},{"id":"https://openalex.org/keywords/3d-model-repositories","display_name":"3D model repositories","score":0.7179999947547913}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636999845504761},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.576200008392334},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5654000043869019},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.5501999855041504},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5227000117301941},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3968000113964081},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3765999972820282},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.334199994802475},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C3019308078","wikidata":"https://www.wikidata.org/wiki/Q229367","display_name":"3d printed","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2976999878883362},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.3688","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.3688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.stanford.edu/projects/sizes/sizes.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1989598349","https://openalex.org/W2805280437","https://openalex.org/W4417296259","https://openalex.org/W7163039367","https://openalex.org/W1993502673","https://openalex.org/W2600287834","https://openalex.org/W7160023384","https://openalex.org/W4400184209","https://openalex.org/W7096064039","https://openalex.org/W2942767874"],"abstract_inverted_index":{"Figure":[0],"1:":[1],"We":[2,65,142],"use":[3,143],"a":[4,12,26,74],"probabilistic":[5],"model":[6,28,125,149],"to":[7,84,121,151],"determine":[8],"scales":[9,80,120],"that":[10,169],"give":[11],"collection":[13],"of":[14,69,76,135,139,157,164],"3D":[15,95,106,112,124,140,148,165],"models":[16,22,42,77,96,113],"physically":[17],"plausible":[18],"sizes.":[19],"Left:":[20],"fifty":[21],"randomly":[23],"sampled":[24],"from":[25,105,146],"12490":[27],"dataset.":[29],"Many":[30],"sizes":[31,72,163,175],"are":[32,54],"implausible":[33,38],"(red":[34],"highlights":[35],"some":[36],"particularly":[37],"cases).":[39],"Right:":[40],"same":[41],"rescaled":[43],"with":[44,81],"our":[45],"approach":[46,89,109,172],"(e.g.":[47],"the":[48,59,63,67,132],"DVD":[49],"player":[50],"and":[51,102,127,159,167],"computer":[52],"mouse":[53],"now":[55],"plausibly":[56],"sized":[57],"in":[58],"front":[60],"row":[61],"on":[62],"right).":[64],"address":[66],"problem":[68,134],"recovering":[70],"reliable":[71],"for":[73,94,130],"collec-tion":[75],"defined":[78],"using":[79],"unknown":[82],"correspondence":[83],"physical":[85,162],"units.":[86],"Our":[87,108],"algorithmic":[88,171],"provides":[90],"absolute":[91],"size":[92,100,103,158],"estimates":[93],"by":[97],"combining":[98],"category-based":[99],"priors":[101],"observations":[104],"scenes.":[107],"handles":[110],"un-observed":[111],"without":[114],"any":[115],"user":[116],"intervention.":[117],"It":[118],"also":[119],"large":[122],"public":[123],"databases":[126],"is":[128],"appropriate":[129],"handling":[131],"open-world":[133],"rapidly":[136],"expanding":[137],"collections":[138],"models.":[141],"two":[144],"datasets":[145],"online":[147],"repositories":[150],"evaluate":[152],"against":[153],"both":[154],"human":[155],"judgments":[156],"ground":[160],"truth":[161],"models,":[166],"find":[168],"an":[170],"can":[173],"pre-dict":[174],"more":[176],"accurately":[177],"than":[178],"people.":[179]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-27T00:00:00"}