{"id":"https://openalex.org/W4408352037","doi":"https://doi.org/10.1109/icassp49660.2025.10888368","title":"NeRF-VLD: Efficient Visual Landmark Database Construction via Scene Constraints","display_name":"NeRF-VLD: Efficient Visual Landmark Database Construction via Scene Constraints","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352037","doi":"https://doi.org/10.1109/icassp49660.2025.10888368"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100357791","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0003-1306-6538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026492466","display_name":"Qun Niu","orcid":"https://orcid.org/0000-0002-5048-060X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qun Niu","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101718711","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0002-9238-4472"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Sun Yat-Sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9939000010490417,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9937999844551086,"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/landmark","display_name":"Landmark","score":0.9532437324523926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.747728705406189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5472209453582764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4920641779899597},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4625949263572693},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.42696571350097656}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9532437324523926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747728705406189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5472209453582764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4920641779899597},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4625949263572693},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.42696571350097656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2088136988","https://openalex.org/W2884692898","https://openalex.org/W3109585842","https://openalex.org/W3158644935","https://openalex.org/W4206451674","https://openalex.org/W4315630918","https://openalex.org/W4320890301","https://openalex.org/W4386065515","https://openalex.org/W4386065635","https://openalex.org/W4387449103","https://openalex.org/W4390489066","https://openalex.org/W4391305639","https://openalex.org/W4391876875","https://openalex.org/W4392523571","https://openalex.org/W4392903120","https://openalex.org/W4392909871","https://openalex.org/W4393032581","https://openalex.org/W4396786671","https://openalex.org/W4404612908","https://openalex.org/W6843239693"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Visual":[0],"landmarks,":[1],"with":[2,169],"their":[3],"unique":[4],"textures,":[5],"play":[6],"a":[7,42,64],"crucial":[8],"role":[9],"in":[10],"vision-based":[11,184],"environmental":[12],"sensing":[13],"applications":[14],"(such":[15],"as":[16,107],"augmented":[17],"reality-based":[18],"advertising,":[19],"indoor":[20],"navigation).":[21],"However,":[22],"few":[23],"studies":[24],"have":[25],"focused":[26],"on":[27],"the":[28,71,85,96,112,128,135,161,181],"construction":[29],"of":[30,67,87,131,163,183],"visual":[31,56],"landmark":[32,57,151],"databases,":[33],"which":[34,47],"is":[35,117,125],"usually":[36],"time-consuming":[37],"and":[38,77,153,176,179],"laborious.":[39],"We":[40],"propose":[41],"novel":[43],"method":[44],"called":[45],"NeRF-VLD,":[46],"first":[48,97],"introduces":[49],"Neural":[50],"Radiance":[51],"Fields":[52],"(NeRF)":[53],"to":[54,119,138,156],"build":[55],"databases":[58,158],"efficiently.":[59],"NeRF-VLD":[60,147,173],"generates":[61],"images":[62],"from":[63],"small":[65],"number":[66,162],"sources,":[68],"thus":[69],"eliminating":[70],"need":[72],"for":[73],"extensive":[74],"site":[75],"surveys":[76],"consequently":[78],"reducing":[79,160],"deployment":[80],"costs":[81,178],"significantly.":[82],"To":[83],"improve":[84],"quality":[86],"generated":[88],"images,":[89],"we":[90],"introduce":[91],"two":[92],"scene-constrained":[93],"modules.":[94],"In":[95,111],"module,":[98,114],"sparse":[99],"depth":[100,123],"maps":[101],"provided":[102],"by":[103,166],"Structure-from-Motion":[104],"are":[105],"introduced":[106],"additional":[108],"geometric":[109],"constraints.":[110],"second":[113],"scene":[115],"regularization":[116],"applied":[118],"image":[120,164],"pixels":[121],"where":[122],"information":[124],"unavailable,":[126],"constraining":[127],"volume":[129],"density":[130],"sample":[132],"points":[133],"near":[134],"camera":[136],"plane":[137],"alleviate":[139],"ghostly":[140],"artifacts":[141],"problem.":[142],"Experimental":[143],"results":[144],"demonstrate":[145],"that":[146],"can":[148],"achieve":[149],"comparable":[150],"identification":[152],"positioning":[154],"accuracy":[155],"real-image":[157],"while":[159],"acquisition":[165],"97%.":[167],"Compared":[168],"full":[170],"manual":[171],"survey,":[172],"reduces":[174],"survey":[175],"update":[177],"improves":[180],"applicability":[182],"service.":[185]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
