{"id":"https://openalex.org/W2134885052","doi":"https://doi.org/10.1109/icip.2008.4711734","title":"Linear ego-motion recovery algorithm based on quasi-parallax","display_name":"Linear ego-motion recovery algorithm based on quasi-parallax","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2134885052","doi":"https://doi.org/10.1109/icip.2008.4711734","mag":"2134885052"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4711734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5081639109","display_name":"Chuanxin Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210133358","display_name":"Search","ror":"https://ror.org/03f78hn46","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210133358"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG","US"],"is_corresponding":true,"raw_author_name":"Chuanxin Hu","raw_affiliation_strings":["Electrical and Computer Engineering, National University of Singapore","Microsoft Search Technology Center"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Microsoft Search Technology Center","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210133358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110259948","display_name":"Loong Fah Cheong","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Loong Fah Cheong","raw_affiliation_strings":["Electrical and Computer Engineering, National University of Singapore"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081639109"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I165932596","https://openalex.org/I4210133358"],"apc_list":null,"apc_paid":null,"fwci":0.3512,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66458492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9972000122070312,"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/T13579","display_name":"Image and Video Stabilization","score":0.9966999888420105,"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/parallax","display_name":"Parallax","score":0.8614035844802856},{"id":"https://openalex.org/keywords/epipolar-geometry","display_name":"Epipolar geometry","score":0.7660918235778809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7065672278404236},{"id":"https://openalex.org/keywords/bundle-adjustment","display_name":"Bundle adjustment","score":0.6613049507141113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6543880105018616},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6368869543075562},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6336836814880371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176847219467163},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5885101556777954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43501392006874084},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3304435610771179},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1405373513698578}],"concepts":[{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.8614035844802856},{"id":"https://openalex.org/C23379248","wikidata":"https://www.wikidata.org/wiki/Q200904","display_name":"Epipolar geometry","level":3,"score":0.7660918235778809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7065672278404236},{"id":"https://openalex.org/C179458375","wikidata":"https://www.wikidata.org/wiki/Q1020763","display_name":"Bundle adjustment","level":3,"score":0.6613049507141113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6543880105018616},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6368869543075562},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6336836814880371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176847219467163},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5885101556777954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43501392006874084},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3304435610771179},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1405373513698578},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2008.4711734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4711734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/70802","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/70802","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W203860134","https://openalex.org/W1509069826","https://openalex.org/W1545711958","https://openalex.org/W1989701469","https://openalex.org/W2070814988","https://openalex.org/W2124313187"],"related_works":["https://openalex.org/W132764016","https://openalex.org/W2148054235","https://openalex.org/W2751063144","https://openalex.org/W2995498265","https://openalex.org/W1985830928","https://openalex.org/W2406670120","https://openalex.org/W2004690548","https://openalex.org/W4287590792","https://openalex.org/W3174283523","https://openalex.org/W3110529713"],"abstract_inverted_index":{"A":[0],"parallel":[1,22,39],"camera":[2],"array":[3],"resembles":[4],"a":[5,48],"large":[6],"class":[7],"of":[8,14,38],"biological":[9],"visual":[10,30,40],"systems.":[11],"It":[12],"consists":[13],"two":[15],"cameras":[16],"moving":[17],"in":[18,28],"tandem,":[19],"which":[20,52],"have":[21],"viewing":[23],"directions":[24],"and":[25,46,57,72,86],"no":[26],"overlap":[27],"the":[29,69,76,84,87],"fields.":[31],"Without":[32],"correspondences,":[33],"we":[34],"leverage":[35],"on":[36],"pair":[37],"rays":[41],"to":[42,54],"remove":[43],"rotational":[44],"flows":[45],"obtain":[47],"quasi-parallax":[49],"motion":[50],"field,":[51],"leads":[53],"an":[55],"accurate":[56],"parsimonious":[58],"solution":[59],"for":[60],"translation":[61,78],"recovery.":[62],"The":[63],"rotation":[64],"is":[65],"subsequently":[66],"recovered":[67],"using":[68],"epipolar":[70],"constraints":[71],"benefits":[73],"greatly":[74],"from":[75],"good":[77],"estimate.":[79],"Experimental":[80],"results":[81],"show":[82],"that":[83],"linear":[85],"bundle":[88],"adjustment":[89],"methods":[90],"achieve":[91],"comparable":[92],"performances.":[93]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
