{"id":"https://openalex.org/W3141222272","doi":"https://doi.org/10.1145/3445815.3445861","title":"Skeleton-bridged Mesh Saliency and Mesh Simplification","display_name":"Skeleton-bridged Mesh Saliency and Mesh Simplification","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3141222272","doi":"https://doi.org/10.1145/3445815.3445861","mag":"3141222272"},"language":"en","primary_location":{"id":"doi:10.1145/3445815.3445861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","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/A5036177770","display_name":"Wanna Luan","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanna Luan","raw_affiliation_strings":["School of software Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of software Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552843","display_name":"Chengming Liu","orcid":"https://orcid.org/0000-0002-8650-4271"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengming Liu","raw_affiliation_strings":["School of software Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of software Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112383739","display_name":"Haibo Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Pang","raw_affiliation_strings":["School of software Zhengzhou University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of software Zhengzhou University, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I38877650"],"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":"278","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9805999994277954,"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/voronoi-diagram","display_name":"Voronoi diagram","score":0.8370522260665894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7045249342918396},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.6657230257987976},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6490667462348938},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6186859607696533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6132957935333252},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4959493577480316},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4794539213180542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46054452657699585},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.428469717502594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3461149334907532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25697875022888184},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0756884515285492}],"concepts":[{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.8370522260665894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7045249342918396},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.6657230257987976},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6490667462348938},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6186859607696533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6132957935333252},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4959493577480316},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4794539213180542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46054452657699585},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.428469717502594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3461149334907532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25697875022888184},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0756884515285492},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3445815.3445861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","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":24,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W2006502673","https://openalex.org/W2011270184","https://openalex.org/W2031335414","https://openalex.org/W2031878977","https://openalex.org/W2039592758","https://openalex.org/W2042164058","https://openalex.org/W2043896016","https://openalex.org/W2047670868","https://openalex.org/W2098350864","https://openalex.org/W2107285396","https://openalex.org/W2132303710","https://openalex.org/W2164084182","https://openalex.org/W2235901111","https://openalex.org/W2553856265","https://openalex.org/W2591678876","https://openalex.org/W2621309449","https://openalex.org/W2892804465","https://openalex.org/W2913772345","https://openalex.org/W2947689748","https://openalex.org/W4200501717","https://openalex.org/W4243723963","https://openalex.org/W4249142012","https://openalex.org/W4254781129"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W4360958759","https://openalex.org/W2348235448","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W176898926","https://openalex.org/W288156810","https://openalex.org/W1562406979","https://openalex.org/W3200375535"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,27,84,95],"local-to-global":[4],"framework":[5],"for":[6],"mesh":[7,123],"saliency,":[8,37],"which":[9,30,105],"can":[10],"measure":[11],"the":[12,35,41,52,72,119],"visual":[13],"importance":[14],"in":[15],"agreement":[16],"with":[17,112],"human":[18],"perception.":[19],"Firstly,":[20],"based":[21,55],"on":[22,56,122],"Voronoi":[23],"diagram,":[24],"we":[25,50,81],"give":[26],"new":[28,85],"descriptor":[29],"does":[31],"not":[32],"only":[33],"compute":[34],"local":[36,89],"but":[38],"also":[39,117],"facilitates":[40],"computation":[42],"of":[43,74,101],"3D":[44],"skeleton":[45,57],"and":[46,59,76,90],"global":[47,53,91],"saliency.":[48],"Then":[49],"calculate":[51],"saliency":[54,92,120],"extraction":[58],"hierarchical":[60],"clustering.":[61],"In":[62],"addition,":[63],"an":[64],"effective":[65],"denoising":[66],"method":[67],"is":[68],"exploited":[69],"to":[70,87,93,125],"guarantee":[71],"smoothness":[73],"skeletons":[75],"clustering":[77],"accuracy.":[78],"At":[79],"last,":[80],"put":[82],"forward":[83],"solution":[86],"integrate":[88],"obtain":[94],"visually":[96,127],"better":[97],"result.":[98],"Large":[99],"amounts":[100],"models":[102],"are":[103,110],"tested":[104],"demonstrate":[106],"that":[107],"our":[108],"results":[109],"consistent":[111],"human-marked":[113],"interest":[114],"points.":[115],"We":[116],"apply":[118],"score":[121],"simplification":[124,129],"get":[126],"saliency-aware":[128],"results.":[130]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
