{"id":"https://openalex.org/W4313154082","doi":"https://doi.org/10.1109/iscas48785.2022.9937859","title":"A Point Matching Strategy of 3D Loss Function for Single RGB Images Deep Mesh Reconstruction","display_name":"A Point Matching Strategy of 3D Loss Function for Single RGB Images Deep Mesh Reconstruction","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4313154082","doi":"https://doi.org/10.1109/iscas48785.2022.9937859"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937859","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100650156","display_name":"Xin Deng","orcid":"https://orcid.org/0000-0003-0001-4990"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Deng","raw_affiliation_strings":["Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759345","display_name":"Ning Jiang","orcid":"https://orcid.org/0000-0003-0794-7996"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Jiang","raw_affiliation_strings":["Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655815","display_name":"Shiyu Chen","orcid":"https://orcid.org/0000-0001-8715-0025"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Chen","raw_affiliation_strings":["Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076671255","display_name":"Jiarui Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Cheng","raw_affiliation_strings":["Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085521381","display_name":"Yufei Gao","orcid":"https://orcid.org/0000-0002-2356-0700"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Gao","raw_affiliation_strings":["Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049814360","display_name":"Wenxin Yu","orcid":"https://orcid.org/0000-0002-6093-5516"},"institutions":[{"id":"https://openalex.org/I1297991670","display_name":"Southwest University of Science and Technology","ror":"https://ror.org/04d996474","country_code":"CN","type":"education","lineage":["https://openalex.org/I1297991670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Yu","raw_affiliation_strings":["Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,China","institution_ids":["https://openalex.org/I1297991670"]},{"raw_affiliation_string":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China","institution_ids":["https://openalex.org/I1297991670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100650156"],"corresponding_institution_ids":["https://openalex.org/I1297991670"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16718951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"2856","last_page":"2860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/point-cloud","display_name":"Point cloud","score":0.8172775506973267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7028235197067261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946075916290283},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5921372175216675},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5106130242347717},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.505479097366333},{"id":"https://openalex.org/keywords/signed-distance-function","display_name":"Signed distance function","score":0.5012867450714111},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48942509293556213},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4705510437488556},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4651210308074951},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45521682500839233},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.42800551652908325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4256495237350464},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.217806875705719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19210350513458252},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10486313700675964}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8172775506973267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028235197067261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946075916290283},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5921372175216675},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5106130242347717},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.505479097366333},{"id":"https://openalex.org/C71169176","wikidata":"https://www.wikidata.org/wiki/Q7512907","display_name":"Signed distance function","level":2,"score":0.5012867450714111},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48942509293556213},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4705510437488556},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4651210308074951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45521682500839233},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.42800551652908325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4256495237350464},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.217806875705719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19210350513458252},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10486313700675964},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937859","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"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":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2064675550","https://openalex.org/W2108729336","https://openalex.org/W2129404737","https://openalex.org/W2194775991","https://openalex.org/W2342277278","https://openalex.org/W2558748708","https://openalex.org/W2560722161","https://openalex.org/W2603429625","https://openalex.org/W2738551266","https://openalex.org/W2949409558","https://openalex.org/W2962778872","https://openalex.org/W2962988048","https://openalex.org/W2963527086","https://openalex.org/W2963850211","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2990578762","https://openalex.org/W2993195924","https://openalex.org/W3021282624","https://openalex.org/W4394671432","https://openalex.org/W6637373629","https://openalex.org/W6676449312","https://openalex.org/W6687484953","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6758334880"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W2358149864","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W3133812613","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W4385921699","https://openalex.org/W2030109976","https://openalex.org/W2369260257"],"abstract_inverted_index":{"Recent":[0],"the-state-of-the-art":[1],"image-based":[2],"three-dimensional":[3],"(3D)":[4],"reconstruction":[5,82,219,245],"methods":[6,223],"that":[7,225],"represent":[8],"3D":[9,57,244],"shapes":[10],"mainly":[11],"using":[12],"triangular":[13],"mesh":[14,83],"because":[15],"of":[16,26,103,115,138,146,169,193,236],"its":[17],"memory":[18],"efficiency":[19],"and":[20,31,40,54,84,111,118,221,238,243],"ability":[21],"to":[22,29,47,69,130,179,201],"present":[23],"surface":[24],"detail":[25],"objects":[27],"compared":[28],"voxel":[30],"point":[32,97,132,150,176,184],"cloud.":[33],"Previous":[34],"works":[35,75,106,237],"usually":[36],"follow":[37],"an":[38],"encoding":[39,110],"decoding":[41,112],"pattern.":[42],"A":[43],"deep":[44],"neural":[45],"network":[46],"extract":[48],"the":[49,52,56,71,78,81,92,100,104,109,116,135,161,167,181,190,206,211],"features":[50],"from":[51],"picture":[53],"reconstruct":[55],"structure.":[58],"It":[59],"is":[60,120,128],"a":[61,174],"typical":[62],"supervised":[63],"learning":[64],"process,":[65],"requiring":[66],"loss":[67,79,117,162,207,228],"function":[68],"supervise":[70],"training.":[72],"No":[73],"existing":[74],"directly":[76],"calculate":[77,180],"between":[80,96],"ground":[85],"truth":[86],"mesh.":[87],"Instead,":[88],"they":[89],"indirectly":[90],"used":[91,121],"Chamfer":[93],"Distance":[94],"(CD)":[95],"clouds":[98,133],"as":[99],"loss.":[101,182],"Most":[102],"previous":[105],"focus":[107],"on":[108,216],"parts":[113],"instead":[114],"CD":[119,127,232],"for":[122,195],"all":[123],"works.":[124],"However,":[125],"when":[126],"applied":[129],"two":[131],"with":[134],"same":[136],"number":[137,145,192],"points,":[139],"some":[140,153],"points":[141,147,154,200],"can":[142,230],"match":[143],"any":[144],"in":[148,159,205,233],"another":[149],"cloud,":[151],"so":[152],"will":[155,165],"be":[156,202],"less":[157],"involved":[158,204],"calculating":[160],"function,":[163],"which":[164],"reduce":[166],"utilization":[168,213],"information.":[170],"Therefore,":[171],"We":[172],"propose":[173],"new":[175,227],"matching":[177,185],"strategy":[178,186],"The":[183],"we":[187],"proposed":[188],"limits":[189],"maximum":[191],"matches":[194],"each":[196],"point,":[197],"allowing":[198],"more":[199,203],"calculation,":[208],"thereby":[209],"improving":[210],"information":[212],"rate.":[214],"Experiments":[215],"single":[217],"view":[218],"(SVR)":[220],"auto-encoding":[222],"show":[224],"this":[226,234],"method":[229],"replace":[231],"type":[235],"has":[239],"better":[240],"training":[241],"results":[242],"quality.":[246]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
