{"id":"https://openalex.org/W4413755359","doi":"https://doi.org/10.1109/isvlsi65124.2025.11130217","title":"iLog 3.0: Estimating Food Volume from 2D Images Using Mask R-CNN and Monocular Depth Estimation","display_name":"iLog 3.0: Estimating Food Volume from 2D Images Using Mask R-CNN and Monocular Depth Estimation","publication_year":2025,"publication_date":"2025-07-06","ids":{"openalex":"https://openalex.org/W4413755359","doi":"https://doi.org/10.1109/isvlsi65124.2025.11130217"},"language":"en","primary_location":{"id":"doi:10.1109/isvlsi65124.2025.11130217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi65124.2025.11130217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","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/A5119450565","display_name":"Indira Devi Siripurapu","orcid":null},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Indira Devi Siripurapu","raw_affiliation_strings":["University of North Texas,Dept. of Computer Science and Engineering,USA"],"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043994365","display_name":"Alakananda Mitra","orcid":"https://orcid.org/0000-0002-8796-4819"},"institutions":[{"id":"https://openalex.org/I114395901","display_name":"University of Nebraska\u2013Lincoln","ror":"https://ror.org/043mer456","country_code":"US","type":"education","lineage":["https://openalex.org/I114395901"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alakananda Mitra","raw_affiliation_strings":["University of Nebraska-Lincoln,Nebraska Water Center,USA"],"affiliations":[{"raw_affiliation_string":"University of Nebraska-Lincoln,Nebraska Water Center,USA","institution_ids":["https://openalex.org/I114395901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070359867","display_name":"Saraju P. Mohanty","orcid":"https://orcid.org/0000-0003-2959-6541"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saraju P. Mohanty","raw_affiliation_strings":["University of North Texas,Dept. of Computer Science and Engineering,USA"],"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062843590","display_name":"Elias Kougianos","orcid":"https://orcid.org/0000-0002-1616-7628"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elias Kougianos","raw_affiliation_strings":["University of North Texas,Dept. of Electrical Engineering,USA"],"affiliations":[{"raw_affiliation_string":"University of North Texas,Dept. of Electrical Engineering,USA","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5119450565"],"corresponding_institution_ids":["https://openalex.org/I123534392"],"apc_list":null,"apc_paid":null,"fwci":1.6913,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84165259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.7473000288009644,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.7473000288009644,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7202000021934509,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7417377829551697},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.686380922794342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6315762996673584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6111571788787842},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5522201657295227},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4998750686645508},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.38302722573280334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3425571322441101},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0713362991809845}],"concepts":[{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7417377829551697},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.686380922794342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6315762996673584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111571788787842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5522201657295227},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4998750686645508},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38302722573280334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3425571322441101},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0713362991809845},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isvlsi65124.2025.11130217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi65124.2025.11130217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7900000214576721,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2528054895","https://openalex.org/W2606595051","https://openalex.org/W2793998188","https://openalex.org/W2960206397","https://openalex.org/W3034680718","https://openalex.org/W4205305173","https://openalex.org/W4307939630","https://openalex.org/W4313315961","https://openalex.org/W4318969840","https://openalex.org/W4319996536","https://openalex.org/W4323022296","https://openalex.org/W4361732196","https://openalex.org/W4381328785","https://openalex.org/W4382240333","https://openalex.org/W4384699148","https://openalex.org/W4387163680","https://openalex.org/W4390609136","https://openalex.org/W4391923765","https://openalex.org/W4403489851","https://openalex.org/W4406356351","https://openalex.org/W4408254311"],"related_works":["https://openalex.org/W200819717","https://openalex.org/W2798121181","https://openalex.org/W2032269556","https://openalex.org/W1991834176","https://openalex.org/W2944448661","https://openalex.org/W2064421702","https://openalex.org/W4253756925","https://openalex.org/W2805523177","https://openalex.org/W2131956013","https://openalex.org/W2036566443"],"abstract_inverted_index":{"To":[0,89],"maintain":[1],"a":[2,38,58,108],"healthy":[3],"and":[4,65,101,125],"balanced":[5],"lifestyle,":[6],"it":[7],"is":[8,104,115,127],"essential":[9],"to":[10,15,26,29,36,106,130],"consume":[11],"food":[12,23,53,74,95],"in":[13],"proportion":[14],"one\u2019s":[16],"individual":[17],"needs.":[18],"The":[19,40,73],"proportions":[20],"of":[21,51,93],"the":[22,31,47,52,80,91,94,97,113,131],"consumed":[24],"need":[25],"be":[27,77],"calculated":[28],"determine":[30,90],"exact":[32],"calorie":[33],"intake":[34],"or":[35,49],"keep":[37],"log.":[39],"proposed":[41],"system,":[42],"iLog":[43],"3.0,":[44],"automatically":[45],"determines":[46],"volume":[48],"quantity":[50],"item":[54,75],"when":[55],"uploaded":[56],"using":[57,79],"mobile":[59],"application,":[60],"utilizing":[61],"state-of-the-art":[62],"object":[63],"detection":[64],"depth":[66,109],"estimation":[67],"techniques":[68],"for":[69],"2D":[70],"RGB":[71],"images.":[72],"will":[76],"identified":[78],"Mask":[81],"R-CNN":[82],"(Mask":[83],"Region-Based":[84],"Convolutional":[85],"Neural":[86],"Network)":[87],"technique.":[88],"height":[92,114],"item,":[96],"MiDaS":[98],"(Mixed":[99],"Depth":[100],"Scale)":[102],"technique":[103],"employed":[105],"generate":[107],"map,":[110],"from":[111],"which":[112],"subsequently":[116],"determined.":[117],"A":[118],"high":[119],"success":[120],"rate":[121],"has":[122],"been":[123],"achieved,":[124],"quantification":[126],"accurate":[128],"compared":[129],"previously":[132],"used":[133],"models.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}