{"id":"https://openalex.org/W4402916051","doi":"https://doi.org/10.1109/icip51287.2024.10648047","title":"Reconstruct Dynamic Scene for Spike Camera Based on 3D Space Time Similarity","display_name":"Reconstruct Dynamic Scene for Spike Camera Based on 3D Space Time Similarity","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916051","doi":"https://doi.org/10.1109/icip51287.2024.10648047"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10648047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5101966985","display_name":"Yuanlin Wang","orcid":"https://orcid.org/0009-0002-5736-2267"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanlin Wang","raw_affiliation_strings":["Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871"],"affiliations":[{"raw_affiliation_string":"Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013727612","display_name":"Ruiqin Xiong","orcid":"https://orcid.org/0000-0001-9796-0478"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqin Xiong","raw_affiliation_strings":["Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871"],"affiliations":[{"raw_affiliation_string":"Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103228041","display_name":"Jing Zhao","orcid":"https://orcid.org/0000-0002-8413-9979"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871"],"affiliations":[{"raw_affiliation_string":"Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871"],"affiliations":[{"raw_affiliation_string":"Peking University,State Key Laboratory of Multimedia Information Processing,Beijing,China,100871","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101966985"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.7873,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7342923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1595","last_page":"1601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9976000189781189,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/spike","display_name":"Spike (software development)","score":0.7135328054428101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7035355567932129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6890696287155151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.685950517654419},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5978424549102783},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5213664770126343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3535313010215759},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22420671582221985}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7135328054428101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7035355567932129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890696287155151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.685950517654419},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5978424549102783},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5213664770126343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3535313010215759},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22420671582221985},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10648047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip51287.2024.10648047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5099999904632568}],"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":18,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W2016574277","https://openalex.org/W2119350939","https://openalex.org/W2133665775","https://openalex.org/W2149211411","https://openalex.org/W2513579264","https://openalex.org/W2612342510","https://openalex.org/W2741137940","https://openalex.org/W2758780985","https://openalex.org/W2945944624","https://openalex.org/W2964554711","https://openalex.org/W3034856145","https://openalex.org/W3035303839","https://openalex.org/W3091703563","https://openalex.org/W3195504409","https://openalex.org/W4205122705","https://openalex.org/W4240760906","https://openalex.org/W4319996434"],"related_works":["https://openalex.org/W2174331923","https://openalex.org/W2050175337","https://openalex.org/W2329992713","https://openalex.org/W3050304047","https://openalex.org/W2317338006","https://openalex.org/W2385487847","https://openalex.org/W2062974934","https://openalex.org/W2385476654","https://openalex.org/W2904960904","https://openalex.org/W2348832753"],"abstract_inverted_index":{"Spike":[0],"camera":[1,5],"is":[2],"a":[3,64,122],"neuromorphic":[4],"that":[6,128],"recurrently":[7],"accumulates":[8],"photons":[9],"and":[10,52,138],"fires":[11],"spikes":[12,98],"to":[13,45,110],"record":[14],"the":[15,36,46,53,59,70,78,93,118,129],"incident":[16],"light":[17,71,86,101],"intensity":[18,72,119],"at":[19,121],"very":[20],"high":[21,30],"temporal":[22,94],"resolution,":[23],"making":[24],"it":[25,104],"particularly":[26],"suitable":[27],"for":[28,41,117],"recording":[29],"dynamic":[31,100],"scenes.":[32],"This":[33],"paper":[34,76,90],"addresses":[35],"problem":[37],"of":[38,49,56,80,96],"image":[39],"reconstruction":[40,144],"spike":[42,57,60,66,81,115],"camera.":[43],"Due":[44],"Poisson":[47],"effect":[48,55],"photon":[50],"arrival":[51],"quantization":[54],"readout,":[58],"interval":[61,82],"calculated":[62],"from":[63],"single":[65],"cycle":[67],"cannot":[68],"reflect":[69],"accurately.":[73],"Firstly,":[74],"this":[75,89],"analyzes":[77],"error":[79],"estimation":[83,120],"under":[84,99],"static":[85],"intensity.":[87,102],"Then,":[88],"focuses":[91],"on":[92],"correlation":[95],"continuous":[97,114],"Specifically,":[103],"considers":[105],"3D":[106],"space":[107],"time":[108],"similarity":[109],"weighted":[111],"average":[112],"multiple":[113],"intervals":[116],"certain":[123],"pixel.":[124],"Experimental":[125],"results":[126],"demonstrate":[127],"proposed":[130],"method":[131],"achieves":[132],"better":[133],"performance":[134],"in":[135],"both":[136],"objective":[137],"subjective":[139],"aspects":[140],"compared":[141],"with":[142],"previous":[143],"methods.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}