{"id":"https://openalex.org/W2774275905","doi":"https://doi.org/10.1109/mfi.2017.8170370","title":"Experimental Study on Image Interpolation for Concealed Object Detection","display_name":"Experimental Study on Image Interpolation for Concealed Object Detection","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2774275905","doi":"https://doi.org/10.1109/mfi.2017.8170370","mag":"2774275905"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2017.8170370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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/A5035754746","display_name":"Dokkyun Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I9323808","display_name":"Daegu University","ror":"https://ror.org/01zqccq48","country_code":"KR","type":"education","lineage":["https://openalex.org/I9323808"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dokkyun Yi","raw_affiliation_strings":["Division of Creative Integrated General Studies, Daegu University, Gyeongsan, South Korea"],"affiliations":[{"raw_affiliation_string":"Division of Creative Integrated General Studies, Daegu University, Gyeongsan, South Korea","institution_ids":["https://openalex.org/I9323808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101403579","display_name":"Su\u2010Yeon Kim","orcid":"https://orcid.org/0000-0002-5912-7845"},"institutions":[{"id":"https://openalex.org/I9323808","display_name":"Daegu University","ror":"https://ror.org/01zqccq48","country_code":"KR","type":"education","lineage":["https://openalex.org/I9323808"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Su-Yeon Kim","raw_affiliation_strings":["School of Computer and Communication Engineering, Daegu University, Gyeongsan, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Daegu University, Gyeongsan, South Korea","institution_ids":["https://openalex.org/I9323808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053519705","display_name":"Seokwon Yeom","orcid":"https://orcid.org/0000-0002-6428-5805"},"institutions":[{"id":"https://openalex.org/I9323808","display_name":"Daegu University","ror":"https://ror.org/01zqccq48","country_code":"KR","type":"education","lineage":["https://openalex.org/I9323808"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokwon Yeom","raw_affiliation_strings":["Daegu University, Gyeongsan, Gyeongbuk, KR"],"affiliations":[{"raw_affiliation_string":"Daegu University, Gyeongsan, Gyeongbuk, KR","institution_ids":["https://openalex.org/I9323808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051140656","display_name":"Mun-Kyo Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143937","display_name":"Hanwha Solutions (South Korea)","ror":"https://ror.org/05dmq6f22","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210143937","https://openalex.org/I4403386467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mun-Kyo Lee","raw_affiliation_strings":["Hanwa System, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanwa System, Yongin, South Korea","institution_ids":["https://openalex.org/I4210143937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087404753","display_name":"Sangwon Jung","orcid":"https://orcid.org/0000-0003-1701-9966"},"institutions":[{"id":"https://openalex.org/I4210143937","display_name":"Hanwha Solutions (South Korea)","ror":"https://ror.org/05dmq6f22","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210143937","https://openalex.org/I4403386467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Won Jung","raw_affiliation_strings":["Hanwa System, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Hanwa System, Yongin, South Korea","institution_ids":["https://openalex.org/I4210143937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035754746"],"corresponding_institution_ids":["https://openalex.org/I9323808"],"apc_list":null,"apc_paid":null,"fwci":0.3824,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61065692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"30","issue":null,"first_page":"501","last_page":"504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10752","display_name":"Terahertz technology and applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/computer-vision","display_name":"Computer vision","score":0.754991888999939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7252947688102722},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6257092952728271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.602928102016449},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.5277032256126404},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5134909749031067},{"id":"https://openalex.org/keywords/spline-interpolation","display_name":"Spline interpolation","score":0.48288822174072266},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46413204073905945},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45117253065109253},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4125019609928131},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2570180892944336},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.162958562374115},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.11084353923797607}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.754991888999939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7252947688102722},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6257092952728271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.602928102016449},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.5277032256126404},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5134909749031067},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.48288822174072266},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46413204073905945},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45117253065109253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4125019609928131},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2570180892944336},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.162958562374115},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.11084353923797607},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mfi.2017.8170370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2017.8170370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","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":11,"referenced_works":["https://openalex.org/W1995905135","https://openalex.org/W2006134838","https://openalex.org/W2029907202","https://openalex.org/W2036281626","https://openalex.org/W2039150507","https://openalex.org/W2045849310","https://openalex.org/W2049161806","https://openalex.org/W2063259383","https://openalex.org/W2065579036","https://openalex.org/W2134127527","https://openalex.org/W2159194469"],"related_works":["https://openalex.org/W4293743910","https://openalex.org/W1775307446","https://openalex.org/W2394941659","https://openalex.org/W1498671902","https://openalex.org/W33056850","https://openalex.org/W2465174208","https://openalex.org/W2030667839","https://openalex.org/W2388226938","https://openalex.org/W2384260886","https://openalex.org/W2081870131"],"abstract_inverted_index":{"Millimeter":[0],"wave":[1],"(MMW)":[2],"readily":[3],"penetrates":[4],"fabrics,":[5],"thus":[6],"it":[7],"can":[8,22,130],"be":[9],"used":[10],"to":[11,46,63],"detect":[12],"objects":[13,65],"concealed":[14],"under":[15],"clothing.":[16],"A":[17],"passive":[18,120],"MMW":[19,121],"imaging":[20],"system":[21],"operate":[23],"as":[24],"a":[25,71,107,110],"stand-off":[26],"type":[27],"sensor":[28],"that":[29],"scans":[30],"people":[31],"away":[32],"from":[33,41],"the":[34,37,47,55,68,77,83,86,88,91,95,98,105,114,119,127,132],"system.":[35,122],"However,":[36],"image":[38,43,60],"often":[39],"suffers":[40],"low":[42,51],"quality":[44],"due":[45],"diffraction":[48],"limit":[49],"and":[50,94,137],"signal":[52],"level.":[53],"In":[54,104],"paper,":[56],"we":[57],"discuss":[58],"four":[59],"interpolation":[61,128],"methods":[62,129],"recognize":[64],"hidden":[66],"in":[67,113],"clothing":[69,115],"of":[70],"person.":[72],"The":[73,123],"first":[74],"method":[75],"is":[76,85,90,97,116],"bi-cubic":[78],"with":[79],"Gaussian":[80],"smooth":[81],"filtering,":[82],"second":[84],"Lagrangian,":[87],"third":[89],"cubic":[92],"spline,":[93],"last":[96],"Weighted":[99],"Essentially":[100],"Non-Oscillatory":[101],"(WENO)":[102],"interpolation.":[103],"experiment,":[106],"person":[108],"hiding":[109],"metallic":[111],"gun":[112,133],"captured":[117],"by":[118],"experimental":[124],"results":[125],"show":[126],"enhance":[131],"object":[134],"for":[135],"segmentation":[136],"recognition.":[138]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
