{"id":"https://openalex.org/W4405785282","doi":"https://doi.org/10.1109/iros58592.2024.10801591","title":"Sim2real Cattle Joint Estimation in 3D point clouds","display_name":"Sim2real Cattle Joint Estimation in 3D point clouds","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4405785282","doi":"https://doi.org/10.1109/iros58592.2024.10801591"},"language":"en","primary_location":{"id":"doi:10.1109/iros58592.2024.10801591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801591","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":"conference-paper","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/A5115653414","display_name":"Mohammad Okour","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Okour","raw_affiliation_strings":["University of Technology,Robotics Institute,Sydney,NSW,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute,Sydney,NSW,Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047963491","display_name":"Raphael Falque","orcid":"https://orcid.org/0000-0003-4436-647X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raphael Falque","raw_affiliation_strings":["University of Technology,Robotics Institute,Sydney,NSW,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute,Sydney,NSW,Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075161617","display_name":"Alen Alempijevic","orcid":"https://orcid.org/0000-0002-1769-8041"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alen Alempijevic","raw_affiliation_strings":["University of Technology,Robotics Institute,Sydney,NSW,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Robotics Institute,Sydney,NSW,Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"1818","last_page":"1823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9257000088691711,"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":0.9257000088691711,"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/joint","display_name":"Joint (building)","score":0.7348097562789917},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.609785795211792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5290752053260803},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4734109342098236},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4503178298473358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1831493377685547},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13860610127449036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12529104948043823},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.04914894700050354}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7348097562789917},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.609785795211792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5290752053260803},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4734109342098236},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4503178298473358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1831493377685547},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13860610127449036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12529104948043823},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.04914894700050354},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros58592.2024.10801591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros58592.2024.10801591","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":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5899999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320964","display_name":"University of New England","ror":"https://ror.org/04r659a56"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1947023414","https://openalex.org/W2038357359","https://openalex.org/W2162892568","https://openalex.org/W2172156083","https://openalex.org/W2253043691","https://openalex.org/W2765656677","https://openalex.org/W2765816034","https://openalex.org/W2790184610","https://openalex.org/W2798646183","https://openalex.org/W2887114371","https://openalex.org/W2903404838","https://openalex.org/W2962730651","https://openalex.org/W2981954551","https://openalex.org/W2983454547","https://openalex.org/W3009693647","https://openalex.org/W3034403061","https://openalex.org/W3035069238","https://openalex.org/W3049061604","https://openalex.org/W3049094777","https://openalex.org/W3094057700","https://openalex.org/W3119653668","https://openalex.org/W3152331843","https://openalex.org/W3156340166","https://openalex.org/W3165265377","https://openalex.org/W3175712787","https://openalex.org/W3199039581","https://openalex.org/W3207553856","https://openalex.org/W3215365232","https://openalex.org/W4383109493","https://openalex.org/W6739778489","https://openalex.org/W6782590680","https://openalex.org/W6782923953","https://openalex.org/W6800922194","https://openalex.org/W6801229689","https://openalex.org/W6839270518"],"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/W4389574804"],"abstract_inverted_index":{"Understanding":[0],"the":[1,40,51,70,79,93,121,127,145,152,168,176,183,196],"well-being":[2],"of":[3,42,53,87,107,123,147,179,198],"cattle":[4,66,158,193,206],"is":[5,119],"crucial":[6],"in":[7,136],"various":[8],"agricultural":[9],"contexts.":[10],"Cattle\u2019s":[11],"body":[12,29,89],"shape":[13,82],"and":[14,74,160,175],"joint":[15,148],"articulation":[16],"carry":[17],"significant":[18],"information":[19],"about":[20],"their":[21],"welfare,":[22],"yet":[23],"acquiring":[24],"comprehensive":[25],"datasets":[26],"for":[27,48],"3D":[28,61,80],"pose":[30],"estimation":[31],"presents":[32],"a":[33,44,58,85,103,137,163,191],"formidable":[34],"challenge.":[35],"This":[36],"study":[37],"delves":[38],"into":[39,204],"construction":[41],"such":[43],"dataset":[45],"specifically":[46,120],"tailored":[47],"cattle.":[49],"Leveraging":[50],"expertise":[52],"digital":[54],"artists,":[55],"we":[56,77,181],"use":[57,97,122],"single":[59],"animated":[60],"model":[62],"to":[63,83,101,133,186,201],"represent":[64],"diverse":[65],"postures.":[67],"To":[68],"address":[69],"disparity":[71],"between":[72,172],"virtual":[73],"real-world":[75],"data,":[76],"augment":[78],"model\u2019s":[81],"encompass":[84],"range":[86],"potential":[88],"appearances,":[90],"thereby":[91],"narrowing":[92],"\"sim2real\"":[94],"gap.":[95],"We":[96,143],"these":[98],"annotated":[99],"models":[100],"train":[102],"deep-learning":[104],"framework":[105],"capable":[106],"estimating":[108],"internal":[109],"joints":[110,135,185],"solely":[111],"based":[112],"on":[113,156],"external":[114],"surface":[115,128],"curvature.":[116],"Our":[117],"contribution":[118],"geodesic":[124],"distance":[125],"over":[126],"manifold,":[129],"coupled":[130],"with":[131],"multilateration":[132],"extract":[134],"semantic":[138],"keypoint":[139],"detection":[140],"encoder-decoder":[141],"architecture.":[142],"demonstrate":[144],"robustness":[146],"extraction":[149],"by":[150,167],"comparing":[151],"link":[153],"lengths":[154],"extracted":[155],"real":[157,192],"mobbing":[159],"walking":[161],"within":[162,190],"race.":[164],"Furthermore,":[165],"inspired":[166],"established":[169],"allometric":[170],"relationship":[171],"bone":[173],"length":[174],"overall":[177],"height":[178,189],"mammals,":[180],"utilise":[182],"estimated":[184],"predict":[187],"hip":[188],"dataset,":[194],"extending":[195],"utility":[197],"our":[199],"approach":[200],"offer":[202],"insights":[203],"improving":[205],"monitoring":[207],"practices.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}