{"id":"https://openalex.org/W4413087503","doi":"https://doi.org/10.1109/ssp64130.2025.11073472","title":"A Bayesian Approach for 3D Guided Video Super-Resolution of Single-Photon Lidar Data","display_name":"A Bayesian Approach for 3D Guided Video Super-Resolution of Single-Photon Lidar Data","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4413087503","doi":"https://doi.org/10.1109/ssp64130.2025.11073472"},"language":"en","primary_location":{"id":"doi:10.1109/ssp64130.2025.11073472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp64130.2025.11073472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Statistical Signal Processing Workshop (SSP)","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/A5064381812","display_name":"Abderrahim Halimi","orcid":"https://orcid.org/0000-0002-8112-5352"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Abderrahim Halimi","raw_affiliation_strings":["Heriot-Watt University,School of Engineering and Physical Sciences,Edinburgh,U.K"],"affiliations":[{"raw_affiliation_string":"Heriot-Watt University,School of Engineering and Physical Sciences,Edinburgh,U.K","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010538525","display_name":"Stephen McLaughlin","orcid":"https://orcid.org/0000-0002-9558-8294"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen McLaughlin","raw_affiliation_strings":["Heriot-Watt University,School of Engineering and Physical Sciences,Edinburgh,U.K"],"affiliations":[{"raw_affiliation_string":"Heriot-Watt University,School of Engineering and Physical Sciences,Edinburgh,U.K","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064381812"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22335475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7760907411575317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6174358129501343},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5537859797477722},{"id":"https://openalex.org/keywords/photon","display_name":"Photon","score":0.4618064761161804},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40829405188560486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37049293518066406},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33035898208618164},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2989298701286316},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25631847977638245},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1684819757938385}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7760907411575317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6174358129501343},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5537859797477722},{"id":"https://openalex.org/C159317903","wikidata":"https://www.wikidata.org/wiki/Q3198","display_name":"Photon","level":2,"score":0.4618064761161804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40829405188560486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37049293518066406},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33035898208618164},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2989298701286316},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25631847977638245},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1684819757938385}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp64130.2025.11073472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp64130.2025.11073472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320005","display_name":"Royal Academy of Engineering","ror":"https://ror.org/0526snb40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1983044509","https://openalex.org/W2125188192","https://openalex.org/W2125248163","https://openalex.org/W2144616873","https://openalex.org/W2573726823","https://openalex.org/W2613985060","https://openalex.org/W2791040764","https://openalex.org/W2805297939","https://openalex.org/W2809731038","https://openalex.org/W2898102229","https://openalex.org/W2913110478","https://openalex.org/W2943353405","https://openalex.org/W2963497304","https://openalex.org/W2964223102","https://openalex.org/W2966802213","https://openalex.org/W2972777431","https://openalex.org/W2973821584","https://openalex.org/W2987334222","https://openalex.org/W3018295689","https://openalex.org/W3018664053","https://openalex.org/W3038685279","https://openalex.org/W3048590988","https://openalex.org/W3099254556","https://openalex.org/W3100158650","https://openalex.org/W3101058046","https://openalex.org/W3109230621","https://openalex.org/W3127845596","https://openalex.org/W3128112652","https://openalex.org/W3133902371","https://openalex.org/W3163982590","https://openalex.org/W3184277843","https://openalex.org/W3200746860","https://openalex.org/W4213285446","https://openalex.org/W4293182121","https://openalex.org/W4386065645"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,50,74],"Bayesian":[4,43],"algorithm":[5],"for":[6],"the":[7,78],"robust":[8],"reconstruction":[9,95],"and":[10,49],"super-resolution":[11],"of":[12,80],"3D":[13],"video":[14],"single-photon":[15],"LiDAR":[16,26],"data.":[17],"The":[18,40],"focus":[19],"is":[20],"on":[21,89],"challenging":[22],"scenarios":[23],"with":[24,60],"low-resolution":[25],"data,":[27],"sparse":[28],"photon":[29],"returns":[30],"or":[31,85],"high":[32],"background":[33],"noise":[34],"as":[35],"observed":[36],"in":[37,65,96],"real-world":[38],"applications.":[39],"proposed":[41],"hierarchical":[42],"approach":[44],"leverages":[45],"multiscale":[46],"histogram":[47],"information":[48],"high-resolution":[51,56],"reflectivity":[52],"guidance":[53,81],"to":[54,100],"provide":[55],"depth":[57],"estimates":[58],"along":[59],"corresponding":[61],"uncertainty":[62],"measures,":[63],"aiding":[64],"better":[66],"decision-making.":[67],"Correlations":[68],"between":[69],"variables":[70],"are":[71],"enforced":[72],"through":[73],"weighted":[75],"scheme,":[76],"enabling":[77],"integration":[79],"from":[82],"other":[83],"sensors":[84],"advanced":[86],"algorithms.":[87],"Results":[88],"synthetic":[90],"data":[91],"demonstrate":[92],"improved":[93],"scene":[94],"extreme":[97],"conditions":[98],"compared":[99],"existing":[101],"methods.":[102]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
