{"id":"https://openalex.org/W4392248586","doi":"https://doi.org/10.1109/icce59016.2024.10444160","title":"Local Field Scaling for Point Surface Normal Estimation","display_name":"Local Field Scaling for Point Surface Normal Estimation","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392248586","doi":"https://doi.org/10.1109/icce59016.2024.10444160"},"language":"en","primary_location":{"id":"doi:10.1109/icce59016.2024.10444160","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce59016.2024.10444160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5111137352","display_name":"Jaesuk Ryu","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaesuk Ryu","raw_affiliation_strings":["Chung-Ang University,Department of Artificial Intelligence,Seoul,Korea","Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Artificial Intelligence,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071401410","display_name":"Minwoo Shin","orcid":"https://orcid.org/0000-0002-0093-2866"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minwoo Shin","raw_affiliation_strings":["Chung-Ang University,Department of Image,Seoul,Korea","Department of Image, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Image, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686008","display_name":"Dohoon Kim","orcid":"https://orcid.org/0009-0008-0140-8469"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dohoon Kim","raw_affiliation_strings":["Chung-Ang University,Department of Image,Seoul,Korea","Department of Image, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Image, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079342010","display_name":"Jinbeum Jang","orcid":"https://orcid.org/0000-0002-4038-7065"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinbeum Jang","raw_affiliation_strings":["Chung-Ang University,Department of Image,Seoul,Korea","Department of Image, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Image,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Image, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013926864","display_name":"Joonki Paik","orcid":"https://orcid.org/0000-0002-8593-7155"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonki Paik","raw_affiliation_strings":["Chung-Ang University,Department of Artificial Intelligence,Seoul,Korea","Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea","Department of Image, Chung-Ang University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Chung-Ang University,Department of Artificial Intelligence,Seoul,Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Image, Chung-Ang University, Seoul, Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111137352"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01839765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9986000061035156,"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/scaling","display_name":"Scaling","score":0.5958871245384216},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.46963071823120117},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4548519253730774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41634491086006165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25658321380615234},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1695922315120697}],"concepts":[{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5958871245384216},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.46963071823120117},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4548519253730774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41634491086006165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25658321380615234},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1695922315120697}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce59016.2024.10444160","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce59016.2024.10444160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.699999988079071,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2766448241","https://openalex.org/W3039448353","https://openalex.org/W3101395346","https://openalex.org/W3102669005","https://openalex.org/W3187580431","https://openalex.org/W4382465742"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2034318954"],"abstract_inverted_index":{"In":[0,59],"this":[1,33],"paper,":[2],"we":[3],"propose":[4],"a":[5],"refined":[6],"technique":[7],"for":[8,41],"point":[9,49],"surface":[10,44],"normal":[11],"estimation":[12],"utilizing":[13],"local":[14,47],"receptive":[15],"field":[16],"scaling.":[17],"Traditional":[18],"methods":[19],"often":[20],"struggle":[21],"with":[22],"artifact":[23,54],"patterns":[24],"like":[25],"gradients":[26],"and":[27,46,56,85],"stripes,":[28],"compromising":[29],"accuracy.":[30],"To":[31],"address":[32,53],"issue,":[34],"the":[35,80],"proposed":[36],"method":[37,75],"integrates":[38],"relative":[39],"positioning":[40],"streamlined":[42],"weighted":[43],"approximation":[45],"farthest":[48],"distance":[50],"normalization":[51],"to":[52],"density":[55],"sparsity":[57],"challenges.":[58],"addition,":[60],"our":[61,74],"approach":[62],"enhances":[63],"network":[64],"training":[65],"efficiency.":[66],"Experimental":[67],"results":[68],"on":[69],"public":[70],"datasets":[71],"confirm":[72],"that":[73],"outperforms":[76],"existing":[77],"techniques":[78],"in":[79],"sense":[81],"of":[82],"both":[83],"accuracy":[84],"robustness.":[86]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
