{"id":"https://openalex.org/W4405785396","doi":"https://doi.org/10.1109/iros58592.2024.10801428","title":"OBHMR: Robust Partial-to-full Generalized Point Set Registration with Overlap-guided Bidirectional Hybrid Mixture Model","display_name":"OBHMR: Robust Partial-to-full Generalized Point Set Registration with Overlap-guided Bidirectional Hybrid Mixture Model","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405785396","doi":"https://doi.org/10.1109/iros58592.2024.10801428"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5083105501","display_name":"Xinzhe Du","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinzhe Du","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101584823","display_name":"Zhengyan Zhang","orcid":"https://orcid.org/0000-0003-2988-0083"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhengyan Zhang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101541870","display_name":"Ang Zhang","orcid":"https://orcid.org/0000-0002-0749-5822"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ang Zhang","raw_affiliation_strings":["Yuanhua Robotics, Perception and AI Technologies Ltd,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Yuanhua Robotics, Perception and AI Technologies Ltd,Shenzhen,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645277","display_name":"Rui Song","orcid":"https://orcid.org/0000-0002-4119-4433"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Song","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724411","display_name":"Yibin Li","orcid":"https://orcid.org/0000-0002-5906-5074"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibin Li","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021531143","display_name":"Max Q.\u2010H. Meng","orcid":"https://orcid.org/0000-0002-5255-5898"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Max Q.-H. Meng","raw_affiliation_strings":["Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040071840","display_name":"Zhe Min","orcid":"https://orcid.org/0000-0002-8903-1561"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Min","raw_affiliation_strings":["Shandong University,School of Control Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Control Science and Engineering,China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083105501"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":6.1198,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9737584,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7235","last_page":"7242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12404","display_name":"Mathematical Approximation and Integration","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12404","display_name":"Mathematical Approximation and Integration","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9473999738693237,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9363999962806702,"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/computer-science","display_name":"Computer science","score":0.5762737393379211},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.508105993270874},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5030860304832458},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4867534637451172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4372473359107971},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4149155020713806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29030194878578186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5762737393379211},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.508105993270874},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5030860304832458},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4867534637451172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4372473359107971},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4149155020713806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29030194878578186},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10801428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310075","display_name":"Jinan Science and Technology Bureau","ror":"https://ror.org/016p59286"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335581","display_name":"Young Scientists Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2049981393","https://openalex.org/W2128019145","https://openalex.org/W2134236847","https://openalex.org/W2990613095","https://openalex.org/W3005226310","https://openalex.org/W3034295752","https://openalex.org/W3096538374","https://openalex.org/W3173190497","https://openalex.org/W3177280664","https://openalex.org/W3214555988","https://openalex.org/W4283331827","https://openalex.org/W4285189169","https://openalex.org/W4312516208","https://openalex.org/W4312685343","https://openalex.org/W4319300821","https://openalex.org/W4364322751","https://openalex.org/W4386918963","https://openalex.org/W4399167797","https://openalex.org/W6618372016","https://openalex.org/W6763422710","https://openalex.org/W6856927293"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2770593030","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W3154990682","https://openalex.org/W2181413294","https://openalex.org/W2560201613","https://openalex.org/W4382602924"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"a":[5,42,128],"novel":[6],"overlap-based":[7],"bidirectional":[8,43,129,183],"point":[9],"set":[10],"registration":[11,40,130,153,165,203],"approach,":[12],"i.e.,":[13],"Overlap-guided":[14],"Bidirectional":[15],"Hybrid":[16,67],"Mixture":[17,68,74,79],"Registration":[18],"(OBHMR),":[19],"which":[20],"incorporates":[21],"geometric":[22],"information":[23],"(i.e.,":[24,173],"normal":[25,175],"vectors)":[26],"in":[27,41,127,151,185,190,205],"both":[28],"the":[29,36,49,56,65,72,87,93,98,103,109,114,119,124,182,200],"correspondence":[30,89,94],"and":[31,34,77,96,134,143,181],"transformation":[32,115,121],"stages":[33],"formulates":[35],"optimization":[37],"objective":[38,126],"of":[39,51,71,170,198],"manner.":[44],"More":[45],"importantly,":[46],"to":[47,63,163],"address":[48],"issue":[50],"partial-to-full":[52,152,202],"registration,":[53],"OBHMR":[54,82,186],"utilises":[55],"predicted":[57],"point-wise":[58,99],"overlap":[59,100,177],"score":[60,178],"using":[61,139],"networks":[62],"formulate":[64],"overlap-guided":[66,88,110,135],"Model":[69,75,80],"consisting":[70],"Gaussian":[73],"(GMM)":[76],"Fisher":[78],"(FMM).":[81],"contains":[83],"four":[84],"components:":[85],"(1)":[86],"network":[90],"that":[91,107,117],"estimates":[92,108],"probabilities":[95],"calculates":[97],"score;":[101],"(2)":[102],"learning":[104],"posterior":[105],"module":[106,116,180],"HMM":[111,136],"parameters;":[112],"(3)":[113],"computes":[118],"rigid":[120],"by":[122],"formulating":[123],"optimisation":[125],"way,":[131],"given":[132],"correspondences":[133],"parameters.":[137],"Experiments":[138],"1457":[140],"human":[141,145],"femur":[142],"1301":[144],"hip":[146],"models":[147],"demonstrate":[148,195],"significant":[149],"improvements":[150],"performance":[154],"(p":[155],"<":[156],"0.01)":[157],"under":[158],"different":[159],"overlapping":[160],"ratios,":[161],"compared":[162],"state-of-the-art":[164],"approaches.":[166],"Furthermore,":[167],"individual":[168],"contributions":[169],"three":[171],"modules":[172],"additional":[174],"vectors,":[176],"estimation":[179],"mechanism)":[184],"have":[187],"been":[188],"validated":[189],"ablation":[191],"studies.":[192],"The":[193,209],"results":[194],"OBHMR\u2019s":[196],"capability":[197],"tackling":[199],"challenging":[201],"problems":[204],"computer-assisted":[206],"orthopedic":[207],"surgery.":[208],"codes":[210],"are":[211],"available":[212],"at":[213],"https://github.com/Dxinz/DeepOBHMR.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}