{"id":"https://openalex.org/W4401069882","doi":"https://doi.org/10.1109/tase.2024.3422424","title":"Modeling-Based Decoding of the Point Pattern for Active Stereo Vision","display_name":"Modeling-Based Decoding of the Point Pattern for Active Stereo Vision","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4401069882","doi":"https://doi.org/10.1109/tase.2024.3422424"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2024.3422424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3422424","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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/A5109572692","display_name":"Zhenzhou Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"ZhenZhou Wang","raw_affiliation_strings":["School of Computer Science and Technology, Huaibei Normal University, Huaibei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huaibei Normal University, Huaibei, Anhui, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020360928","display_name":"Yongcan Shuang","orcid":"https://orcid.org/0000-0003-1327-1603"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YongCan Shuang","raw_affiliation_strings":["Institute of Advanced Control Technology, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Control Technology, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109572692"],"corresponding_institution_ids":["https://openalex.org/I165859042"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72247826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"5491","last_page":"5500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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":0.998199999332428,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9854000210762024,"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/computer-vision","display_name":"Computer vision","score":0.7479808330535889},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7275124788284302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701979637145996},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.6223806738853455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5726788640022278},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5012638568878174},{"id":"https://openalex.org/keywords/active-vision","display_name":"Active vision","score":0.5006723403930664},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4825596213340759},{"id":"https://openalex.org/keywords/stereo-cameras","display_name":"Stereo cameras","score":0.45291492342948914},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3620290458202362},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16920197010040283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1619640588760376}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7479808330535889},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7275124788284302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701979637145996},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.6223806738853455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726788640022278},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5012638568878174},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.5006723403930664},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4825596213340759},{"id":"https://openalex.org/C35861506","wikidata":"https://www.wikidata.org/wiki/Q17141434","display_name":"Stereo cameras","level":3,"score":0.45291492342948914},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3620290458202362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16920197010040283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1619640588760376},{"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/tase.2024.3422424","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3422424","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W903426213","https://openalex.org/W1494425773","https://openalex.org/W2000405390","https://openalex.org/W2014182861","https://openalex.org/W2032167559","https://openalex.org/W2044774254","https://openalex.org/W2071514871","https://openalex.org/W2078524723","https://openalex.org/W2088874422","https://openalex.org/W2097615965","https://openalex.org/W2108937947","https://openalex.org/W2116713824","https://openalex.org/W2155479981","https://openalex.org/W2165949176","https://openalex.org/W2168675864","https://openalex.org/W2171276577","https://openalex.org/W2397188463","https://openalex.org/W2549571110","https://openalex.org/W2610272310","https://openalex.org/W2977759382","https://openalex.org/W3006260981","https://openalex.org/W3007791797","https://openalex.org/W3011007613","https://openalex.org/W3024630594","https://openalex.org/W3033193681","https://openalex.org/W3033934310","https://openalex.org/W3037694258","https://openalex.org/W3043778840","https://openalex.org/W3045199074","https://openalex.org/W3047557388","https://openalex.org/W3136219214","https://openalex.org/W3172958370","https://openalex.org/W3202099491","https://openalex.org/W4226162294","https://openalex.org/W4293582849","https://openalex.org/W4379180634","https://openalex.org/W4386101193","https://openalex.org/W4394862907"],"related_works":["https://openalex.org/W128884630","https://openalex.org/W2001412002","https://openalex.org/W1987397303","https://openalex.org/W2792859797","https://openalex.org/W2020803452","https://openalex.org/W2100745878","https://openalex.org/W1967596784","https://openalex.org/W2147657473","https://openalex.org/W268333790","https://openalex.org/W3014239205"],"abstract_inverted_index":{"Active":[0],"stereo":[1,49,176],"vision":[2,177],"(ASV)":[3],"computes":[4],"the":[5,11,20,35,42,47,54,80,90,93,97,100,107,113,116,120,126,130,140,150,154,157,170,173,183,190,210,233,240,244,248,254,257,264,273,279,301,325,331,355,359],"parallax":[6],"and":[7,27,65,96,125,179,199,219,247,263,294,334],"depth":[8],"information":[9],"from":[10,41],"coded":[12],"structured":[13,55,81,320,350],"light":[14,56,82,321,351],"patterns.":[15,323,361],"Thus,":[16],"it":[17,312,342],"could":[18,188,260,267,282,313,343],"overcome":[19],"difficulties":[21],"of":[22,53,60,142,172,349],"measuring":[23],"objects":[24],"without":[25],"textures":[26],"colors.":[28],"Pattern":[29],"decoding":[30,52],"is":[31,103,137,304,338],"used":[32],"to":[33,78,149,164,203,208,238,318,346],"obtain":[34],"indexed":[36],"points":[37,91,98,118,128,155,246,250,259,266,281],"with":[38,277],"pixel":[39],"coordinates":[40],"acquired":[43],"pattern":[44,75,84,95,102,122,132,185],"image":[45],"for":[46,221,330],"subsequent":[48],"matching.":[50],"However,":[51],"patterns":[57,333,357],"at":[58],"locations":[59],"color":[61,197,215,292],"crosstalk,":[62,216],"specular":[63,195,217,290],"reflection":[64,218],"occlusion":[66,200],"remains":[67],"challenging.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"propose":[73],"a":[74,271],"modeling":[76,186],"method":[77,187],"decode":[79],"point":[83,145,310,322,332],"robustly.":[85,251],"The":[86,135,229,285],"mapping":[87,241,255],"model":[88,242],"between":[89,243],"in":[92,99,119,129,139,156],"designed":[94,245,309],"segmented":[101,121,131,249],"computed":[104],"based":[105,224,306],"on":[106,112,253,307],"natural":[108,234],"neighbor":[109,235],"interpolation.":[110],"Based":[111,252],"modeled":[114],"points,":[115],"missing":[117,258],"are":[123,133,160,296],"restored":[124,262],"noise":[127,265],"removed.":[134,269],"robustness":[136],"achieved":[138],"sense":[141],"hundred":[143,151],"percent":[144,152],"segmentation":[146,191,211,275,286],"completeness.":[147],"Due":[148],"completeness,":[153],"corresponding":[158],"blocks":[159],"matched":[161],"directly":[162],"according":[163],"their":[165],"indexes.":[166],"Experimental":[167],"results":[168,276],"verified":[169],"effectiveness":[171],"proposed":[174,184,205,230,302,326],"active":[175],"approach":[178,206,231,303,327],"also":[180,314],"proved":[181],"that":[182],"solve":[189,209],"problems":[192,212,287],"caused":[193,213,288],"by":[194,214,289],"reflection,":[196,291],"crosstalk":[198,293],"effectively.":[201],"Note":[202],"Practitioners\u2014The":[204],"tries":[207],"occlusions":[220,295],"exiting":[222],"point-pattern":[223],"3D":[225],"surface":[226],"imaging":[227],"techniques.":[228],"utilizes":[232],"interpolation":[236],"technique":[237],"compute":[239],"model,":[256],"be":[261,268,283,315,344],"As":[270],"result,":[272],"robust":[274],"all":[278],"projected":[280],"obtained.":[284],"thus":[297],"solved":[298],"successfully.":[299],"Although":[300],"developed":[305],"our":[308],"pattern,":[311],"easily":[316],"expanded":[317],"other":[319,347],"Currently,":[324],"only":[328],"works":[329],"much":[335],"more":[336],"work":[337],"still":[339],"required":[340],"before":[341],"applied":[345],"types":[348],"patterns,":[352],"such":[353],"as":[354],"line":[356],"or":[358],"phase":[360]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
