{"id":"https://openalex.org/W4415707912","doi":"https://doi.org/10.1109/icme59968.2025.11209416","title":"A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras","display_name":"A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707912","doi":"https://doi.org/10.1109/icme59968.2025.11209416"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5101697084","display_name":"Teng Xiao","orcid":"https://orcid.org/0000-0003-0102-8526"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Teng Xiao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058465885","display_name":"Qi Hu","orcid":"https://orcid.org/0000-0001-7803-7821"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Hu","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101653892","display_name":"Qingsong Yan","orcid":"https://orcid.org/0000-0002-7095-5844"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingsong Yan","raw_affiliation_strings":["School of Surveying and Mapping, Wuhan University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping, Wuhan University,Wuhan,China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431969","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2860-1783"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670242","display_name":"Zhiwei Ye","orcid":"https://orcid.org/0000-0001-6668-4634"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Ye","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology,Wuhan,China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101966846","display_name":"Fei Deng","orcid":"https://orcid.org/0000-0003-0886-4324"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Deng","raw_affiliation_strings":["School of Surveying and Mapping, Wuhan University,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping, Wuhan University,Wuhan,China","institution_ids":["https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101697084"],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30922903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.4196000099182129,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.4196000099182129,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.18019999563694,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.04780000075697899,"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/image-warping","display_name":"Image warping","score":0.8600000143051147},{"id":"https://openalex.org/keywords/image-rectification","display_name":"Image rectification","score":0.7026000022888184},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.663100004196167},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5871000289916992},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5410000085830688},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.539900004863739},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47699999809265137},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4438999891281128},{"id":"https://openalex.org/keywords/nonlinear-distortion","display_name":"Nonlinear distortion","score":0.38040000200271606},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.3774000108242035}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.8600000143051147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7989000082015991},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.743399977684021},{"id":"https://openalex.org/C171614847","wikidata":"https://www.wikidata.org/wiki/Q1262415","display_name":"Image rectification","level":4,"score":0.7026000022888184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933000087738037},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.663100004196167},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5871000289916992},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5410000085830688},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.539900004863739},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.38040000200271606},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.3089999854564667},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C3018868555","wikidata":"https://www.wikidata.org/wiki/Q2918907","display_name":"Single camera","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2953999936580658},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.28029999136924744},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2572000026702881},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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/W2033819227","https://openalex.org/W2294881992","https://openalex.org/W2615547864","https://openalex.org/W2732026016","https://openalex.org/W2903345161","https://openalex.org/W2914733350","https://openalex.org/W2979543786","https://openalex.org/W3009394976","https://openalex.org/W3133605536","https://openalex.org/W3177176136","https://openalex.org/W4386065742","https://openalex.org/W4387609141","https://openalex.org/W4390873083","https://openalex.org/W4391305579","https://openalex.org/W4399406308","https://openalex.org/W4404199195","https://openalex.org/W4404600407","https://openalex.org/W4405383374"],"related_works":[],"abstract_inverted_index":{"Pan-Tilt-Zoom":[0],"(PTZ)":[1],"cameras":[2,138],"with":[3,80],"wide-angle":[4,52],"lenses":[5],"are":[6],"widely":[7],"used":[8,96],"in":[9,34,130],"surveillance":[10],"but":[11],"often":[12],"require":[13],"image":[14,53],"rectification":[15],"due":[16],"to":[17,28,63,83,97],"their":[18],"inherent":[19],"nonlinear":[20],"distortions.":[21],"Current":[22],"deep":[23],"learning":[24],"approaches":[25],"typically":[26],"struggle":[27],"maintain":[29],"fine-grained":[30],"geometric":[31,89],"details,":[32],"resulting":[33],"inaccurate":[35],"rectification.":[36,54],"This":[37],"paper":[38],"presents":[39],"a":[40,48,59,76,92],"Forward":[41],"Distortion":[42],"and":[43,70,101,118],"Backward":[44],"Warping":[45],"Network":[46],"(FDBW-Net),":[47],"novel":[49],"framework":[50],"for":[51,139],"It":[55,123],"begins":[56],"by":[57],"using":[58],"forward":[60],"distortion":[61,131],"model":[62],"synthesize":[64],"barrel-distorted":[65],"images,":[66],"reducing":[67],"pixel":[68],"redundancy":[69],"preventing":[71],"blur.":[72],"The":[73],"network":[74],"employs":[75],"pyramid":[77],"context":[78],"encoder":[79],"attention":[81],"mechanisms":[82],"generate":[84],"backward":[85],"warping":[86],"flows":[87],"containing":[88],"details.":[90],"Then,":[91],"multi-scale":[93],"decoder":[94],"is":[95,107],"restore":[98],"distorted":[99],"features":[100],"output":[102],"rectified":[103],"images.":[104],"FDBW-Net\u2019s":[105],"performance":[106,129],"validated":[108],"on":[109],"diverse":[110],"datasets:":[111],"public":[112],"benchmarks,":[113],"AirSim-rendered":[114],"PTZ":[115,120,137],"camera":[116,121],"imagery,":[117],"real-scene":[119],"datasets.":[122],"demonstrates":[124],"that":[125],"FDBW-Net":[126],"achieves":[127],"SOTA":[128],"rectification,":[132],"boosting":[133],"the":[134],"adaptability":[135],"of":[136],"practical":[140],"visual":[141],"applications.":[142]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}