{"id":"https://openalex.org/W7113905584","doi":"https://doi.org/10.1145/3761668.3761686","title":"Unconstrained Vision-based Measurement with Open-World Segmentation","display_name":"Unconstrained Vision-based Measurement with Open-World Segmentation","publication_year":2025,"publication_date":"2025-06-13","ids":{"openalex":"https://openalex.org/W7113905584","doi":"https://doi.org/10.1145/3761668.3761686"},"language":null,"primary_location":{"id":"doi:10.1145/3761668.3761686","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761668.3761686","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3761668.3761686","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 17th International Conference on Computer Modeling and Simulation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3761668.3761686","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yijia Fu","orcid":"https://orcid.org/0009-0002-3903-4948"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijia Fu","raw_affiliation_strings":["University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-3903-4948","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yulai Xie","orcid":"https://orcid.org/0000-0003-0764-6579"},"institutions":[{"id":"https://openalex.org/I4210093609","display_name":"Digital China Health (China)","ror":"https://ror.org/00n49pr77","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093609"]},{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Yulai Xie","raw_affiliation_strings":["Hitachi China Research Laboratory, Digital Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0764-6579","affiliations":[{"raw_affiliation_string":"Hitachi China Research Laboratory, Digital Technology, Beijing, China","institution_ids":["https://openalex.org/I4210093609","https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiang Lu","orcid":"https://orcid.org/0009-0006-7657-3181"},"institutions":[{"id":"https://openalex.org/I4210145500","display_name":"Guizhou Electric Power Design and Research Institute","ror":"https://ror.org/055f13495","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Lu","raw_affiliation_strings":["Guizhou Power Grid Co., Ltd, Information Center, Guiyang, China"],"raw_orcid":"https://orcid.org/0009-0006-7657-3181","affiliations":[{"raw_affiliation_string":"Guizhou Power Grid Co., Ltd, Information Center, Guiyang, China","institution_ids":["https://openalex.org/I4210145500"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fang Ren","orcid":"https://orcid.org/0000-0002-2251-9220"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Ren","raw_affiliation_strings":["University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2251-9220","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52644421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.5112000107765198,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.5112000107765198,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.22830000519752502,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.043699998408555984,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7232000231742859},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5713000297546387},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5424000024795532},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5108000040054321},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5034000277519226},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4781999886035919},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4675999879837036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4341999888420105}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7809000015258789},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7426000237464905},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7232000231742859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868000030517578},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5713000297546387},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5034000277519226},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4675999879837036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4309000074863434},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.3747999966144562},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C110898773","wikidata":"https://www.wikidata.org/wiki/Q2933935","display_name":"Camera resectioning","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.296099990606308},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2809999883174896},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3761668.3761686","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761668.3761686","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3761668.3761686","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 17th International Conference on Computer Modeling and Simulation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3761668.3761686","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761668.3761686","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3761668.3761686","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 17th International Conference on Computer Modeling and Simulation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4808952510356903,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7113905584.pdf","grobid_xml":"https://content.openalex.org/works/W7113905584.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2007422653","https://openalex.org/W2911328314","https://openalex.org/W2968257580","https://openalex.org/W2990578762","https://openalex.org/W3039448353","https://openalex.org/W3128930897","https://openalex.org/W4200150166","https://openalex.org/W4302275500","https://openalex.org/W4385318467","https://openalex.org/W4390871919","https://openalex.org/W4390874575","https://openalex.org/W4402816534"],"related_works":[],"abstract_inverted_index":{"Vision-based":[0],"dimensional":[1],"measurement":[2],"has":[3],"become":[4],"a":[5,39,85,102],"critical":[6],"task":[7],"in":[8,121],"computer":[9],"vision,":[10],"with":[11,135],"applications":[12],"ranging":[13],"from":[14,147],"industrial":[15],"inspection":[16],"to":[17,30,107],"augmented":[18],"reality.":[19],"Traditional":[20],"methods":[21],"often":[22],"require":[23],"complex":[24],"camera":[25,78],"calibration":[26],"and":[27,44,66,90,99,114,124],"are":[28,142],"sensitive":[29],"environmental":[31],"changes,":[32],"limiting":[33],"their":[34],"practicality.":[35],"This":[36],"study":[37],"presents":[38],"novel":[40],"framework":[41],"for":[42,63,70,76],"segmenting":[43],"accurately":[45],"measuring":[46,122],"arbitrary":[47],"objects":[48,141],"within":[49],"image-based":[50],"reconstructed":[51],"3D":[52,71,91],"scenes.":[53],"The":[54],"proposed":[55],"approach":[56],"integrates":[57],"the":[58,67,74,82,130,133,148],"Segment":[59],"Anything":[60],"Model":[61],"(SAM)":[62],"2D":[64,89],"segmentation":[65,109],"MASt3R":[68],"model":[69],"reconstruction,":[72],"eliminating":[73],"need":[75],"prior":[77],"calibration.":[79],"By":[80],"leveraging":[81],"pointmap":[83],"representation,":[84],"robust":[86],"correspondence":[87],"between":[88],"spaces":[92],"is":[93,105],"established,":[94],"enabling":[95],"precise":[96],"object":[97],"localization":[98],"measurement.":[100],"Additionally,":[101],"post-processing":[103],"module":[104],"introduced":[106],"refine":[108],"results":[110,128],"through":[111],"density-based":[112],"clustering":[113],"principal":[115],"component":[116],"analysis,":[117],"ensuring":[118],"high":[119],"accuracy":[120],"geometric":[123],"irregular":[125],"objects.":[126],"Experimental":[127],"demonstrate":[129],"effectiveness":[131],"of":[132],"framework,":[134],"measurements":[136],"showing":[137],"minimal":[138],"error":[139],"when":[140],"positioned":[143],"at":[144],"optimal":[145],"distances":[146],"imaging":[149],"device.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-12-11T00:00:00"}
