{"id":"https://openalex.org/W4206146587","doi":"https://doi.org/10.23889/suthesis.56643","title":"Consistent Correspondences for Shape and Image Problems","display_name":"Consistent Correspondences for Shape and Image Problems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W4206146587","doi":"https://doi.org/10.23889/suthesis.56643"},"language":"en","primary_location":{"id":"doi:10.23889/suthesis.56643","is_oa":false,"landing_page_url":"https://doi.org/10.23889/suthesis.56643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Swansea University","raw_type":"dissertation"},"type":"dissertation","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/A5026084140","display_name":"Wang Taiwei","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"WANG, TAIWEI","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026084140"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9998999834060669,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9998999834060669,"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":0.9968000054359436,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9936000108718872,"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/matching","display_name":"Matching (statistics)","score":0.669527530670166},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6443101167678833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6204666495323181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6139666438102722},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5306198596954346},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.528057873249054},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.507237434387207},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4583953619003296},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4260118901729584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4181056022644043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40661343932151794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.324543297290802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2859209179878235}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.669527530670166},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6443101167678833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6204666495323181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6139666438102722},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5306198596954346},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.528057873249054},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.507237434387207},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4583953619003296},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4260118901729584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4181056022644043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40661343932151794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.324543297290802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2859209179878235},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23889/suthesis.56643","is_oa":false,"landing_page_url":"https://doi.org/10.23889/suthesis.56643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Swansea University","raw_type":"dissertation"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W2145253956","https://openalex.org/W1212596013"],"abstract_inverted_index":{"Establish":[0],"consistent":[1,30,49,72,176],"correspondences":[2,31,50,73,177],"between":[3],"different":[4],"objects":[5,19],"is":[6,41,167,215],"a":[7,43,58,217],"classic":[8,218],"problem":[9,98,219],"in":[10,20,54,105,220],"computer":[11,221],"science/vision.":[12],"It":[13],"helps":[14],"to":[15,76,132,152,169,205,255,260,274,289,308],"match":[16],"highly":[17],"similar":[18],"both":[21,186,191],"3D":[22,27,82,91],"and":[23,74,85,116,188,193,251,263,281,341],"2D":[24,47,86,211],"domain.":[25],"Inthe":[26],"domain,":[28,48,92],"finding":[29,71,174],"has":[32],"been":[33,233],"studying":[34],"for":[35,173,241],"more":[36],"than":[37],"20":[38],"yearsand":[39],"it":[40],"still":[42],"hot":[44],"topic.":[45],"In":[46,66,89,209],"can":[51,286,344],"also":[52,216,328],"help":[53],"puzzlesolving.":[55],"However,":[56],"only":[57],"few":[59],"works":[60],"are":[61],"focused":[62],"on":[63,149,190,300],"this":[64,67,126],"approach.":[65],"thesis,":[68],"we":[69,160],"focuson":[70],"extend":[75],"develop":[77,161],"robust":[78],"matching":[79,94,110,297],"techniques":[80,111,269],"inboth":[81],"shape":[83],"segments":[84],"puzzle":[87],"solving.":[88],"the":[90,145,150,210,226,248,257,303,316],"segment-wise":[93,109,154],"isan":[95],"important":[96],"research":[97],"that":[99,266],"supports":[100],"higher-level":[101],"understanding":[102],"of":[103,136,139,200,247,278,318,335],"shapes":[104],"geometryprocessing.":[106],"Many":[107],"existing":[108,236,268,283],"assume":[112],"perfect":[113],"input":[114,140],"segmentation":[115],"would":[117],"suffer":[118],"from":[119],"imperfect":[120],"or":[121,305,338],"over-segmented":[122],"input.":[123],"To":[124,156],"handle":[125],"shortcoming,we":[127],"propose":[128,295],"multi-layer":[129],"graphs":[130],"(MLGs)":[131],"represent":[133],"possible":[134],"arrangements":[135],"partially":[137],"mergedsegments":[138],"shapes.":[141,195],"We":[142,181,294,327],"then":[143],"adapt":[144],"diffusion":[146,306],"pruning":[147],"technique":[148,184,202],"MLGs":[151],"findconsistent":[153],"matching.":[155],"obtain":[157],"high-quality":[158],"matching,":[159],"our":[162,183,201,319,323,348],"own":[163],"voting":[164],"step":[165],"which":[166],"able":[168],"remove":[170],"inconsistent":[171],"results,":[172],"hierarchically":[175],"as":[178],"final":[179],"output.":[180],"evaluate":[182],"with":[185,223,244,276,312,325,332],"quantitative":[187],"qualitativeexperiments":[189],"man-made":[192],"deformable":[194],"Experimental":[196],"results":[197],"demonstrate":[198,315],"theeffectiveness":[199],"when":[203],"compared":[204],"two":[206],"state-of-art":[207],"methods.":[208],"domain,solving":[212],"jigsaw":[213],"puzzles":[214,243,275,311,331,339],"vision":[222],"various":[224],"applications.Over":[225],"past":[227],"decades,":[228],"many":[229],"useful":[230],"approaches":[231,298,320],"have":[232],"introduced.":[234],"Most":[235],"worksuse":[237],"edge-wise":[238],"similarity":[239],"measures":[240],"assembling":[242],"square":[245,310,342],"pieces":[246,334,343],"same":[249],"size,":[250],"recent":[252],"work":[253],"innovates":[254],"use":[256],"loop":[258,284],"constraint":[259],"improve":[261],"efficiency":[262],"accuracy.":[264],"Weobserve":[265],"most":[267],"cannot":[270],"be":[271,287,345],"easily":[272],"extended":[273],"rectangularpieces":[277],"arbitrary":[279,336],"sizes,":[280,337],"no":[282],"constraints":[285],"used":[288],"model":[290],"such":[291],"challenging":[292],"scenarios.":[293],"new":[296],"based":[299],"sub-edges/corners,":[301],"modelledusing":[302],"MatchLift":[304],"framework":[307],"solve":[309],"cycle":[313],"consistency.We":[314],"robustness":[317],"by":[321,347],"comparing":[322],"methods":[324],"state-of-artmethods.":[326],"show":[329],"how":[330],"rectangular":[333],"withtriangular":[340],"solved":[346],"techniques.":[349]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2022-01-25T00:00:00"}
