{"id":"https://openalex.org/W2886393981","doi":"https://doi.org/10.2312/egp.20181016","title":"RIFNOM: 3D Rotation-Invariant Features on Normal Maps","display_name":"RIFNOM: 3D Rotation-Invariant Features on Normal Maps","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2886393981","doi":"https://doi.org/10.2312/egp.20181016","mag":"2886393981"},"language":"en","primary_location":{"id":"doi:10.2312/egp.20181016","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egp.20181016","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egp.20181016","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085791392","display_name":"Akihiro Nakamura","orcid":"https://orcid.org/0000-0001-7938-5254"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nakamura, Akihiro","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084436845","display_name":"Leo Miyashita","orcid":"https://orcid.org/0000-0002-9672-7444"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miyashita, Leo","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026392622","display_name":"Yoshihiro Watanabe","orcid":"https://orcid.org/0000-0002-5756-0530"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Watanabe, Yoshihiro","raw_affiliation_strings":["Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010897098","display_name":"Masatoshi Ishikawa","orcid":"https://orcid.org/0000-0002-6096-830X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ishikawa, Masatoshi","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085791392"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9380999803543091,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9380999803543091,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9178000092506409,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9121999740600586,"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/invariant","display_name":"Invariant (physics)","score":0.6033689379692078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46981385350227356},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.44488081336021423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4230871796607971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37600603699684143},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3489910960197449},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3220621347427368}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6033689379692078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46981385350227356},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.44488081336021423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4230871796607971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37600603699684143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3489910960197449},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3220621347427368},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/egp.20181016","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egp.20181016","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2886393981","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/eurographics/eg-posters2018.html#NakamuraMWI18","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Eurographics","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/egp.20181016","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egp.20181016","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W45848551","https://openalex.org/W2844010158","https://openalex.org/W3045965269","https://openalex.org/W2521150069","https://openalex.org/W2046624364","https://openalex.org/W137731712","https://openalex.org/W2129653672","https://openalex.org/W1799887993","https://openalex.org/W2775226889","https://openalex.org/W140569124","https://openalex.org/W1982675814","https://openalex.org/W2015276885","https://openalex.org/W1563774991","https://openalex.org/W2260403952","https://openalex.org/W2128526641","https://openalex.org/W2131898015","https://openalex.org/W2292988360","https://openalex.org/W2376201568","https://openalex.org/W2587861591","https://openalex.org/W2169254273"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"3D":[3,26,45,72,86],"rotation-invariant":[4,27],"features":[5,30],"on":[6],"normal":[7,40,57],"maps:":[8],"RIFNOM.We":[9],"assign":[10],"a":[11,60,81],"local":[12,53],"coordinate":[13],"system":[14],"(CS)":[15],"to":[16,23,34,80],"each":[17],"pixel":[18],"by":[19,51],"using":[20],"neighbor":[21],"normals":[22],"extract":[24],"the":[25,64,67,77,97],"features.":[28],"These":[29],"can":[31,43],"be":[32],"used":[33],"perform":[35],"interest":[36,49,90],"point":[37],"matching":[38],"between":[39,47,88],"maps.":[41],"We":[42,74],"estimate":[44],"rotations":[46,87],"corresponding":[48,89],"points":[50],"comparing":[52],"CSs.":[54],"Experiments":[55],"with":[56],"maps":[58],"of":[59,66,96],"rigid":[61],"object":[62],"showed":[63],"performance":[65],"proposed":[68,78],"method":[69,79],"in":[70],"estimating":[71,85],"rotations.":[73],"also":[75],"applied":[76],"non-rigid":[82],"object.":[83,98],"By":[84],"points,":[91],"we":[92],"successfully":[93],"detected":[94],"deformation":[95]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
