{"id":"https://openalex.org/W2603806357","doi":"https://doi.org/10.1109/kst.2017.7886100","title":"3DDIR: The distance interior ratio of volumetric models for object recognition","display_name":"3DDIR: The distance interior ratio of volumetric models for object recognition","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2603806357","doi":"https://doi.org/10.1109/kst.2017.7886100","mag":"2603806357"},"language":"en","primary_location":{"id":"doi:10.1109/kst.2017.7886100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2017.7886100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","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/A5087719816","display_name":"Chinnawat Wongwises","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chinnawat Wongwises","raw_affiliation_strings":["Department of Computer Sciences, Thammasat University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Thammasat University","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091545215","display_name":"Natsuda Kaothanthong","orcid":"https://orcid.org/0000-0003-0492-9741"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Natsuda Kaothanthong","raw_affiliation_strings":["School of Management Technology, Thammasat University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management Technology, Thammasat University","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009182363","display_name":"Wasit Limprasert","orcid":"https://orcid.org/0000-0003-1299-376X"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Wasit Limprasert","raw_affiliation_strings":["Department of Computer Sciences, Thammasat University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Thammasat University","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108108428"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01874877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":null,"first_page":"95","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9980999827384949,"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/intersection","display_name":"Intersection (aeronautics)","score":0.8338521718978882},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7069909572601318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5330416560173035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5015869140625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48784565925598145},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.46492457389831543},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.45000508427619934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4228171706199646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4199880361557007},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3661547303199768},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.30731213092803955},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07782772183418274}],"concepts":[{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.8338521718978882},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7069909572601318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5330416560173035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5015869140625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48784565925598145},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46492457389831543},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.45000508427619934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4228171706199646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4199880361557007},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3661547303199768},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.30731213092803955},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07782772183418274},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst.2017.7886100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst.2017.7886100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W52592340","https://openalex.org/W1502916507","https://openalex.org/W1507347479","https://openalex.org/W2023056405","https://openalex.org/W2039327326","https://openalex.org/W2057175746","https://openalex.org/W2114162555","https://openalex.org/W2131285288","https://openalex.org/W2161203768","https://openalex.org/W2162040411","https://openalex.org/W2165414070","https://openalex.org/W2175031088","https://openalex.org/W2295332248","https://openalex.org/W2519319354","https://openalex.org/W3176183162","https://openalex.org/W6629956336","https://openalex.org/W6727304393"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W2348909947","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W4292672442","https://openalex.org/W2158371223","https://openalex.org/W2272629216","https://openalex.org/W2372265507"],"abstract_inverted_index":{"We":[0],"extend":[1],"a":[2,15,20,32,38,78],"novel":[3],"2D":[4],"shape":[5,17],"descriptor":[6,96,102],"called":[7,23],"Distance":[8],"Interior":[9],"Ratio":[10],"(DIR)":[11],"[4]":[12],"to":[13,65,83],"describe":[14],"3D":[16],"represented":[18],"by":[19],"volumetric":[21],"model,":[22],"3DDIR.":[24],"The":[25,89],"3DDIR":[26],"is":[27,52],"defined":[28],"as":[29],"follow:":[30],"Given":[31],"segment":[33],"ab":[34,51,64],"between":[35],"two":[36],"points":[37],"and":[39],"b":[40],"on":[41],"the":[42,48,53,56,66,71,85,94,106],"surface":[43],"of":[44,50,55,59,87,110],"an":[45],"object":[46,109],"O,":[47],"DIR":[49,95],"ratio":[54],"total":[57],"length":[58,67],"its":[60],"fragments":[61,72],"O":[62,73],"\u2229":[63,74],"|ab|.":[68],"To":[69],"find":[70],"ab,":[75],"we":[76],"apply":[77],"simple":[79],"ray":[80],"triangle":[81],"intersection":[82],"analyze":[84],"location":[86],"ab.":[88],"experimental":[90],"result":[91],"shows":[92],"that":[93],"perform":[97],"13%":[98],"better":[99],"than":[100],"D2":[101],"when":[103],"comparing":[104],"using":[105],"first":[107],"match":[108],"each":[111],"query.":[112]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}