{"id":"https://openalex.org/W2811179908","doi":"https://doi.org/10.1109/fskd.2017.8393399","title":"An adapted vision measurement method for package volume based on Kinect","display_name":"An adapted vision measurement method for package volume based on Kinect","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2811179908","doi":"https://doi.org/10.1109/fskd.2017.8393399","mag":"2811179908"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5037788925","display_name":"Ling Li","orcid":"https://orcid.org/0000-0001-9722-9503"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Li","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110540686","display_name":"Zhuang Xingchang","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingchang Zhuang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112491060","display_name":"Li Chen","orcid":"https://orcid.org/0009-0007-5112-5304"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461723","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0003-1585-7798"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447738","display_name":"Tingting Wang","orcid":"https://orcid.org/0000-0002-6328-8115"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Hohai University, Chang Zhou, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037788925"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.33235306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"918","last_page":"922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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":0.7385733127593994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7067728042602539},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6987752914428711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6909355521202087},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.60759037733078},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5938445925712585},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.511550784111023},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.4887382984161377},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4719269275665283},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.437965989112854},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2562539577484131},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.19089707732200623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18762758374214172}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7385733127593994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067728042602539},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6987752914428711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6909355521202087},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.60759037733078},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5938445925712585},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.511550784111023},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.4887382984161377},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4719269275665283},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.437965989112854},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2562539577484131},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.19089707732200623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18762758374214172},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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":16,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W1751162681","https://openalex.org/W2011584748","https://openalex.org/W2038184042","https://openalex.org/W2057571940","https://openalex.org/W2133059825","https://openalex.org/W2167667767","https://openalex.org/W2185732470","https://openalex.org/W2208651435","https://openalex.org/W2318779854","https://openalex.org/W2355672200","https://openalex.org/W2385160575","https://openalex.org/W2559373280","https://openalex.org/W4300920262","https://openalex.org/W6686531817","https://openalex.org/W6729966228"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W4287027631","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"method":[6,78],"for":[7],"measuring":[8],"package":[9,33,39,48,74],"volume":[10,49,75],"with":[11],"multi-source":[12],"vision":[13],"sensor":[14],"\u2014":[15],"Kinect.":[16],"Firstly,":[17],"the":[18,22,32,36,47,60,69,80],"foreground":[19],"segmentation":[20],"and":[21,71,84],"algorithm":[23],"of":[24,38,73,82],"minimum-area":[25],"bounding":[26],"rectangle":[27],"are":[28],"used":[29],"to":[30,91],"computed":[31],"dimensions.":[34],"Secondly,":[35],"height":[37],"is":[40,50,63],"obtained":[41],"by":[42,52],"background":[43],"subtraction":[44],"method.":[45,54],"Finally,":[46],"calculated":[51],"integration":[53],"The":[55],"experimental":[56],"results":[57],"show":[58],"that":[59],"relative":[61],"error":[62],"less":[64],"than":[65],"4.10%,":[66],"which":[67],"improves":[68],"efficiency":[70],"accuracy":[72],"measurement.":[76],"This":[77],"has":[79],"features":[81],"non-contact":[83],"non-stop":[85],"run.":[86],"It":[87],"can":[88],"be":[89],"adapted":[90],"different":[92],"applications.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}