{"id":"https://openalex.org/W1501395973","doi":"https://doi.org/10.1109/icarcv.2002.1238578","title":"Object-based disparity estimation for stereoscopic images","display_name":"Object-based disparity estimation for stereoscopic images","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W1501395973","doi":"https://doi.org/10.1109/icarcv.2002.1238578","mag":"1501395973"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2002.1238578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","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/A5083490016","display_name":"Wenxian Yang","orcid":"https://orcid.org/0000-0002-1122-2990"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yang Wenxian","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062332580","display_name":"King Ngi Ngan","orcid":"https://orcid.org/0000-0003-1946-3235"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ngan King Ngi","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083490016"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.2733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55973055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1105","last_page":"1109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9954000115394592,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8374404907226562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7968146800994873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727269172668457},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.7234182357788086},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6776348352432251},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5699522495269775},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5558393001556396},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47863975167274475},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.42907190322875977},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.40224766731262207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34583979845046997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1997832953929901}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8374404907226562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7968146800994873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727269172668457},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.7234182357788086},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6776348352432251},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5699522495269775},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5558393001556396},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47863975167274475},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.42907190322875977},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.40224766731262207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34583979845046997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1997832953929901},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2002.1238578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","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":11,"referenced_works":["https://openalex.org/W1554898059","https://openalex.org/W1897396419","https://openalex.org/W2037819914","https://openalex.org/W2109729006","https://openalex.org/W2122611618","https://openalex.org/W2126178892","https://openalex.org/W2126841226","https://openalex.org/W2141128914","https://openalex.org/W2165853006","https://openalex.org/W2167218382","https://openalex.org/W6639792182"],"related_works":["https://openalex.org/W113585334","https://openalex.org/W2067745193","https://openalex.org/W4306194383","https://openalex.org/W1530739027","https://openalex.org/W4306249900","https://openalex.org/W2007987780","https://openalex.org/W4304776306","https://openalex.org/W4226053486","https://openalex.org/W1992486622","https://openalex.org/W307265996"],"abstract_inverted_index":{"Disparity":[0],"estimation":[1,21],"has":[2,84],"been":[3,85],"a":[4,31,38,47,70],"critical":[5],"procedure":[6],"in":[7],"stereoscopic":[8],"or":[9],"multiview":[10],"video":[11],"processing.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"present":[17],"an":[18,26],"object-based":[19],"disparity":[20,28,60,95],"algorithm":[22,36,83],"capable":[23],"of":[24,90],"providing":[25],"accurate":[27],"map":[29,61,96],"from":[30],"stereo":[32],"pair":[33],"effectively.":[34],"The":[35,82],"involves":[37],"preprocessing":[39],"step,":[40],"which":[41],"identifies":[42],"the":[43,64,73,79,88,91,94],"foreground":[44,56],"object,":[45],"and":[46,57,72,87],"predictive":[48],"hierarchical":[49],"block":[50],"matching":[51],"with":[52],"different":[53],"parameters":[54],"for":[55],"background.":[58],"Left-to-right":[59],"is":[62,67,76],"calculated,":[63],"right":[65],"image":[66,75],"used":[68],"as":[69],"reference":[71],"left":[74],"reconstructed":[77],"at":[78],"receiver":[80],"end.":[81],"tested":[86],"quality":[89],"reconstruction":[92],"using":[93],"demonstrates":[97],"its":[98],"effectiveness.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}