{"id":"https://openalex.org/W2257981747","doi":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-037","title":"Blue noise Sampling of surfaces from stereoscopic images","display_name":"Blue noise Sampling of surfaces from stereoscopic images","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2257981747","doi":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-037","mag":"2257981747"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.21.3dipm-037","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-037","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01237006/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047886012","display_name":"Fr\u00e9d\u00e9ric Payan","orcid":"https://orcid.org/0000-0001-9885-6445"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fr\u00e9d\u00e9ric Payan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091147970","display_name":"Jean-Luc Peyrot","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Luc Peyrot","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038777297","display_name":"Marc Antonini","orcid":"https://orcid.org/0000-0002-7012-1735"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marc Antonini","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047886012"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00324723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"21","first_page":"3DIPM","last_page":"037.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2980000078678131,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.2980000078678131,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.2298000007867813,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.09910000115633011,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6965525150299072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6929506659507751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661112904548645},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6596561074256897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6255288124084473},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5454323291778564},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5214204788208008},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.5034691691398621},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49356067180633545},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4834369122982025},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.46203142404556274},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.42345547676086426},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.30935370922088623},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2489612102508545},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11771577596664429}],"concepts":[{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6965525150299072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6929506659507751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661112904548645},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6596561074256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6255288124084473},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5454323291778564},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5214204788208008},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.5034691691398621},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49356067180633545},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4834369122982025},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.46203142404556274},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.42345547676086426},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.30935370922088623},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2489612102508545},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11771577596664429},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.21.3dipm-037","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.21.3dipm-037","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01237006v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01237006","pdf_url":"https://hal.science/hal-01237006/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"Electronic Imaging 2016 - 3D Image Processing, Measurement (3DIPM), and Applications, Feb 2016, San Francisco, CA, United States","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01237006v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01237006","pdf_url":"https://hal.science/hal-01237006/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"Electronic Imaging 2016 - 3D Image Processing, Measurement (3DIPM), and Applications, Feb 2016, San Francisco, CA, United States","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2257981747.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2079401649","https://openalex.org/W4313703117","https://openalex.org/W1993738197","https://openalex.org/W2087496541","https://openalex.org/W2028455732","https://openalex.org/W2108615321","https://openalex.org/W1992449490","https://openalex.org/W3006845356"],"abstract_inverted_index":{"We":[0,98],"propose":[1],"an":[2],"original":[3],"technique":[4],"to":[5,16,31,89],"sample":[6],"surfaces":[7,37],"generated":[8],"by":[9,53,60],"stereoscopic":[10,43,75],"acquisition":[11,26,62],"systems.":[12,27],"Our":[13],"motivation":[14],"is":[15,30,116],"simplify":[17],"the":[18,33,36,40,50,56,61,74,80,84,91,94,121,129,136],"long":[19],"and":[20,128],"fastidious":[21],"sampling":[22,34,123,138],"pipeline,":[23],"for":[24],"such":[25],"The":[28],"idea":[29],"make":[32],"of":[35,42,46,55,104],"directly":[38,72],"on":[39,49,100,132],"pair":[41],"images,":[44],"instead":[45],"doing":[47],"it":[48],"meshes":[51],"created":[52],"triangulation":[54],"point":[57],"clouds":[58],"given":[59],"system.":[63],"More":[64],"precisely,":[65],"we":[66],"present":[67],"a":[68,117],"feature-preserving":[69],"sampling,":[70,102],"done":[71],"in":[73,83,87,96],"image":[76],"domain,":[77],"while":[78],"computing":[79],"inter-sample":[81],"distances":[82],"3D":[85],"space,":[86],"order":[88],"reduce":[90],"distortion":[92],"due":[93],"embedding":[95],"R3.":[97],"focus":[99],"Poisson-disk":[101],"because":[103],"its":[105],"nice":[106],"blue":[107],"noise":[108],"properties.":[109,139],"Experimental":[110],"results":[111],"show":[112],"that":[113,125,134],"our":[114],"method":[115],"good":[118],"trade-off":[119],"between":[120],"direct":[122],"methods":[124,130],"are":[126],"timeconsuming,":[127],"based":[131],"parameterizations":[133],"alter":[135],"final":[137]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
