{"id":"https://openalex.org/W2128184725","doi":"https://doi.org/10.1109/icpr.2008.4761598","title":"Kernel functions for robust 3D surface registration with spectral embeddings","display_name":"Kernel functions for robust 3D surface registration with spectral embeddings","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2128184725","doi":"https://doi.org/10.1109/icpr.2008.4761598","mag":"2128184725"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761598","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5102867647","display_name":"Xiuwen Liu","orcid":"https://orcid.org/0000-0002-9320-3872"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiuwen Liu","raw_affiliation_strings":["Department of Computer Science, Florida State University, Tallahassee, FL, USA","Department of Computer Science, Florida State University, Tallahassee FL#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Department of Computer Science, Florida State University, Tallahassee FL#TAB#","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108531771","display_name":"Arturo Donate","orcid":null},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arturo Donate","raw_affiliation_strings":["Department of Computer Science, Florida State University, Tallahassee, FL, USA","Department of Computer Science, Florida State University, Tallahassee FL#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Department of Computer Science, Florida State University, Tallahassee FL#TAB#","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034910118","display_name":"Matthew Jemison","orcid":null},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Jemison","raw_affiliation_strings":["Department of Mathematics, Florida State University, Tallahassee, FL, USA","Dept. of Math., Florida State Univ., Tallahassee, FL"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Dept. of Math., Florida State Univ., Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038428777","display_name":"Washington Mio","orcid":"https://orcid.org/0000-0003-1106-8089"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Washington Mio","raw_affiliation_strings":["Department of Mathematics, Florida State University, Tallahassee, FL, USA","Dept. of Math., Florida State Univ., Tallahassee, FL"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Florida State University, Tallahassee, FL, USA","institution_ids":["https://openalex.org/I103163165"]},{"raw_affiliation_string":"Dept. of Math., Florida State Univ., Tallahassee, FL","institution_ids":["https://openalex.org/I103163165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102867647"],"corresponding_institution_ids":["https://openalex.org/I103163165"],"apc_list":null,"apc_paid":null,"fwci":0.7652,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71562867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"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":0.9994000196456909,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9959999918937683,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9926999807357788,"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/geodesic","display_name":"Geodesic","score":0.8027064800262451},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7427431344985962},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6809056997299194},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.625868558883667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5455876588821411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4939938187599182},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.48223528265953064},{"id":"https://openalex.org/keywords/heat-kernel-signature","display_name":"Heat kernel signature","score":0.475450724363327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.469880610704422},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4550037384033203},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4294579029083252},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39905327558517456},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39811986684799194},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39244529604911804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.387138307094574},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.21473321318626404},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.16069450974464417},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09605404734611511},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.09578779339790344}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.8027064800262451},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7427431344985962},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6809056997299194},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.625868558883667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5455876588821411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4939938187599182},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.48223528265953064},{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.475450724363327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.469880610704422},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4550037384033203},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4294579029083252},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39905327558517456},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39811986684799194},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39244529604911804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.387138307094574},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.21473321318626404},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.16069450974464417},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09605404734611511},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.09578779339790344},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761598","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.2540","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.2540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuBCT8.46.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1972278541","https://openalex.org/W2014425592","https://openalex.org/W2037149239","https://openalex.org/W2049981393","https://openalex.org/W2057175746","https://openalex.org/W2091626191","https://openalex.org/W2098443654","https://openalex.org/W2115796214","https://openalex.org/W2128409098","https://openalex.org/W2145098817","https://openalex.org/W2146087900","https://openalex.org/W2159361280","https://openalex.org/W2171490473","https://openalex.org/W2495084345","https://openalex.org/W4205380271"],"related_works":["https://openalex.org/W2019779994","https://openalex.org/W2384408398","https://openalex.org/W2804516791","https://openalex.org/W2999533062","https://openalex.org/W4312290701","https://openalex.org/W4380302106","https://openalex.org/W2026545685","https://openalex.org/W2027072693","https://openalex.org/W4287180928","https://openalex.org/W2159291740"],"abstract_inverted_index":{"Registration":[0],"of":[1,75,78],"3D":[2],"surfaces":[3,26],"is":[4,68],"a":[5],"critical":[6],"step":[7],"for":[8,29],"shape":[9,112],"analysis.":[10],"Recent":[11],"studies":[12],"show":[13,103],"that":[14,105],"spectral":[15,59],"representations":[16],"based":[17,57],"on":[18,25,58],"intrinsic":[19],"pairwise":[20,49],"geodesic":[21,50],"distances":[22,51],"between":[23],"points":[24],"are":[27,44],"effective":[28],"registration":[30,55,113],"and":[31,40,102],"alignment":[32],"due":[33],"to":[34,47,52,62],"their":[35],"invariance":[36],"under":[37],"rigid":[38],"transformations":[39],"articulations.":[41],"Kernel":[42],"functions":[43],"often":[45],"applied":[46],"the":[48,54,73,76,79,87,95],"make":[53],"process":[56],"embedding":[60],"robust":[61],"elastic":[63],"deformations.":[64],"The":[65],"Gaussian":[66],"kernel":[67,80],"most":[69],"commonly":[70],"used,":[71],"but":[72],"effect":[74],"choice":[77],"function":[81],"has":[82],"not":[83],"been":[84],"studied":[85],"in":[86,111],"previous":[88],"works.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"compare":[94],"results":[96],"obtained":[97],"with":[98,114],"several":[99],"different":[100],"choices":[101],"empirically":[104],"significant":[106],"improvements":[107],"can":[108],"be":[109],"achieved":[110],"appropriate":[115],"choices.":[116]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
