{"id":"https://openalex.org/W4399418560","doi":"https://doi.org/10.1145/3651671.3651732","title":"Efficient 3D Reconstruction of Multiple Plants from UAV Images with Deep Learning","display_name":"Efficient 3D Reconstruction of Multiple Plants from UAV Images with Deep Learning","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418560","doi":"https://doi.org/10.1145/3651671.3651732"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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/A5102797097","display_name":"Hong Huang","orcid":"https://orcid.org/0009-0001-1030-0280"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Huang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0001-1030-0280","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007409112","display_name":"Zhuowei Wang","orcid":"https://orcid.org/0000-0001-6479-5154"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuowei Wang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6479-5154","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053146359","display_name":"Genping Zhao","orcid":"https://orcid.org/0000-0002-3360-1756"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genping Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-3360-1756","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102797097"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04332723,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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/point-cloud","display_name":"Point cloud","score":0.8655399084091187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7544529438018799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7131825685501099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6997469663619995},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.5650507807731628},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5558673143386841},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4923490285873413},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4718185365200043},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.46730872988700867},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.41712865233421326},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.336577832698822},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.2717951834201813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15296542644500732},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11298450827598572}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8655399084091187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7544529438018799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7131825685501099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6997469663619995},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.5650507807731628},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5558673143386841},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4923490285873413},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4718185365200043},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.46730872988700867},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.41712865233421326},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.336577832698822},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2717951834201813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15296542644500732},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11298450827598572},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3651671.3651732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1993120651","https://openalex.org/W2115148212","https://openalex.org/W2171056981","https://openalex.org/W2338968644","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2565639579","https://openalex.org/W2926429807","https://openalex.org/W2950604226","https://openalex.org/W2957974561","https://openalex.org/W2962793285","https://openalex.org/W2990026901","https://openalex.org/W2991001307","https://openalex.org/W3034530552","https://openalex.org/W3097920954","https://openalex.org/W3116155272","https://openalex.org/W3158879387","https://openalex.org/W3170262190","https://openalex.org/W3196589207","https://openalex.org/W3206736890","https://openalex.org/W3215794882","https://openalex.org/W4213008057","https://openalex.org/W4280611656","https://openalex.org/W4285102202","https://openalex.org/W4291920466","https://openalex.org/W4308690765"],"related_works":["https://openalex.org/W2922939509","https://openalex.org/W3130706162","https://openalex.org/W2368534456","https://openalex.org/W2980582925","https://openalex.org/W2811307883","https://openalex.org/W3199889907","https://openalex.org/W3089365509","https://openalex.org/W2281664702","https://openalex.org/W2946815544","https://openalex.org/W2922069956"],"abstract_inverted_index":{"Acquiring":[0],"the":[1,11,50,61,68,80],"3D":[2,18,33,93],"structure":[3,57],"of":[4,16,53,118],"plants":[5,23,38,54,119],"is":[6,39],"a":[7,25,32,89,125],"critical":[8],"task":[9],"in":[10,44],"agricultural":[12,101],"industry.":[13],"Existing":[14],"methods":[15],"generating":[17],"point":[19,94,116],"clouds":[20,117],"for":[21,36],"multiple":[22],"require":[24],"long":[26],"processing":[27],"time.":[28,128],"In":[29],"this":[30],"paper,":[31],"reconstruction":[34],"method":[35,114],"numerous":[37],"proposed.":[40],"Firstly,":[41],"camera":[42,70],"parameters":[43,71],"different":[45],"viewpoints":[46],"are":[47,83],"obtained":[48],"from":[49,58],"aerial":[51],"image":[52],"by":[55],"incremental":[56],"motion.":[59],"Subsequently,":[60],"learning-based":[62],"multi-view":[63],"stereo":[64],"takes":[65],"images":[66],"and":[67,85,91],"corresponding":[69],"as":[72],"inputs":[73],"to":[74,87,104],"acquire":[75],"initial":[76],"depth":[77,81],"maps.":[78],"Finally,":[79],"maps":[82],"filtered":[84],"fused":[86],"produce":[88],"complete":[90],"dense":[92],"cloud.":[95],"We":[96],"conducted":[97],"experiments":[98],"on":[99],"an":[100],"orchard":[102],"dataset":[103],"compare":[105],"with":[106,120],"other":[107],"methods.":[108],"Experimental":[109],"results":[110],"demonstrate":[111],"that":[112],"our":[113],"reconstructs":[115],"good":[121],"quality":[122],"while":[123],"having":[124],"lower":[126],"running":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}