{"id":"https://openalex.org/W1967987569","doi":"https://doi.org/10.1145/1743666.1743700","title":"A depth compensation method for cross-ratio based eye tracking","display_name":"A depth compensation method for cross-ratio based eye tracking","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1967987569","doi":"https://doi.org/10.1145/1743666.1743700","mag":"1967987569"},"language":"en","primary_location":{"id":"doi:10.1145/1743666.1743700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1743666.1743700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Symposium on Eye-Tracking Research &amp; Applications - ETRA '10","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/A5089063185","display_name":"Fl\u00e1vio Luiz Coutinho","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Flavio L. Coutinho","raw_affiliation_strings":["University of S\u00e3o Paulo"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091099966","display_name":"Carlos H. Morimoto","orcid":"https://orcid.org/0000-0003-4679-2827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos H. Morimoto","raw_affiliation_strings":["University of S\u00e3o Paulo"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089063185"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2409,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86816094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9437999725341797,"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":0.9315999746322632,"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/computer-science","display_name":"Computer science","score":0.6594620943069458},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6363612413406372},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5084854364395142},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5000863075256348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49764350056648254},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.44359666109085083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6594620943069458},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6363612413406372},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5084854364395142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5000863075256348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49764350056648254},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.44359666109085083},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1743666.1743700","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1743666.1743700","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Symposium on Eye-Tracking Research &amp; Applications - ETRA '10","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2069631400","https://openalex.org/W2086577692","https://openalex.org/W2096342831","https://openalex.org/W2137842460","https://openalex.org/W2166964954","https://openalex.org/W2170047537","https://openalex.org/W2568842486"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"Traditional":[0],"cross-ratio":[1,81],"methods":[2,24,47,90],"(TCR)":[3],"project":[4],"a":[5,36,78,103,109,127,149],"light":[6],"pattern":[7],"and":[8,31,67,154,170],"use":[9],"invariant":[10],"properties":[11],"of":[12,21,45,70,88,115,137,163],"projective":[13],"geometry":[14],"to":[15,27,60,148],"estimate":[16],"the":[17,22,43,54,61,65,71,86,99,116,138,173],"gaze":[18],"position.":[19],"Advantages":[20],"TCR":[23,46,89,150],"include":[25],"robustness":[26],"large":[28,92],"head":[29,51,93,122],"movements":[30,52],"in":[32],"general":[33],"requires":[34],"just":[35],"one":[37],"time":[38],"per":[39],"user":[40],"calibration.":[41],"However,":[42],"accuracy":[44,87],"decay":[48],"significantly":[49],"for":[50,91],"along":[53],"camera":[55],"optical":[56,66],"axis,":[57],"mainly":[58],"due":[59],"angular":[62,100],"difference":[63],"between":[64],"visual":[68],"axis":[69],"eye.":[72],"In":[73],"this":[74],"paper":[75],"we":[76],"propose":[77],"depth":[79,94],"compensation":[80],"(DCR)":[82],"method":[83,151],"that":[84,130],"improves":[85],"variations.":[95],"Our":[96],"solution":[97,145],"compensates":[98],"offset":[101],"using":[102,152],"2D":[104,117],"onscreen":[105],"vector":[106],"computed":[107],"from":[108,133,157],"simple":[110],"calibration":[111],"procedure.":[112],"The":[113,142],"length":[114],"vector,":[118],"which":[119],"varies":[120],"with":[121,167,172],"distance,":[123],"is":[124,131],"adjusted":[125],"by":[126],"scale":[128],"factor":[129],"estimated":[132],"relative":[134],"size":[135],"variations":[136],"corneal":[139],"reflection":[140],"pattern.":[141],"proposed":[143],"DCR":[144],"was":[146,165],"compared":[147],"synthetic":[153,168],"real":[155,174],"data":[156],"2":[158],"users.":[159],"An":[160],"average":[161],"improvement":[162],"40%":[164],"observed":[166],"data,":[169],"8%":[171],"data.":[175]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
