{"id":"https://openalex.org/W4242372064","doi":"https://doi.org/10.1109/tdpvt.2004.1335394","title":"Recognition of object contours from stereo images: an edge combination approach","display_name":"Recognition of object contours from stereo images: an edge combination approach","publication_year":2004,"publication_date":"2004-11-08","ids":{"openalex":"https://openalex.org/W4242372064","doi":"https://doi.org/10.1109/tdpvt.2004.1335394"},"language":"en","primary_location":{"id":"doi:10.1109/tdpvt.2004.1335394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335394","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","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/A5026627076","display_name":"Margrit Gelautz","orcid":"https://orcid.org/0000-0002-9476-0865"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"M. Gelautz","raw_affiliation_strings":["Institute of Software Technology and Interactive Systems, University of Technology, Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Software Technology and Interactive Systems, University of Technology, Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083749832","display_name":"Danijela Markovi\u0107","orcid":"https://orcid.org/0000-0001-7521-217X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"D. Markovic","raw_affiliation_strings":["Institute of Software Technology and Interactive Systems, University of Technology, Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Software Technology and Interactive Systems, University of Technology, Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026627076"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.7607,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66294643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"774","last_page":"780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8573014736175537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8265007734298706},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.647229015827179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6428512334823608},{"id":"https://openalex.org/keywords/computer-stereo-vision","display_name":"Computer stereo vision","score":0.5312649607658386},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.517869234085083},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.49559032917022705},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.46810054779052734},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45030438899993896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.449907124042511},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4469710886478424},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4451627731323242},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.43367648124694824},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26295751333236694},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.25305062532424927}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8573014736175537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8265007734298706},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.647229015827179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6428512334823608},{"id":"https://openalex.org/C31451488","wikidata":"https://www.wikidata.org/wiki/Q5157586","display_name":"Computer stereo vision","level":3,"score":0.5312649607658386},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.517869234085083},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.49559032917022705},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.46810054779052734},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45030438899993896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.449907124042511},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4469710886478424},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4451627731323242},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.43367648124694824},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26295751333236694},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.25305062532424927}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tdpvt.2004.1335394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2004.1335394","pdf_url":null,"source":{"id":"https://openalex.org/S4363608708","display_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W166492167","https://openalex.org/W1536827095","https://openalex.org/W1545432166","https://openalex.org/W2060855480","https://openalex.org/W2104974755","https://openalex.org/W2106160885","https://openalex.org/W2115667193","https://openalex.org/W2156982683","https://openalex.org/W2164607972","https://openalex.org/W6606735471","https://openalex.org/W6632779255","https://openalex.org/W6675878783"],"related_works":["https://openalex.org/W2739273756","https://openalex.org/W2387510934","https://openalex.org/W4283806690","https://openalex.org/W4281937456","https://openalex.org/W4312567938","https://openalex.org/W2545065926","https://openalex.org/W2356242818","https://openalex.org/W2348584852","https://openalex.org/W2545393398","https://openalex.org/W3169126738"],"abstract_inverted_index":{"We":[0,58],"present":[1,53],"an":[2,60,94],"algorithm":[3,61,97],"to":[4,19,62,75,98],"combine":[5],"edge":[6,85],"information":[7],"from":[8,14],"stereo-derived":[9],"depth":[10,67],"maps":[11],"with":[12,93],"edges":[13,45],"the":[15,21,31,47,55,83],"original":[16,48],"intensity/color":[17],"image":[18,49],"improve":[20],"contour":[22],"detection":[23],"in":[24,54,91],"images":[25],"of":[26,46],"natural":[27],"scenes.":[28],"After":[29],"computing":[30],"disparity":[32],"map,":[33],"we":[34],"generate":[35],"a":[36],"so-called":[37],"\"edge":[38],"combination":[39,86],"image\",":[40],"which":[41,69],"relies":[42],"on":[43],"those":[44],"that":[50],"are":[51,70],"also":[52],"stereo":[56,77],"map.":[57],"describe":[59],"identify":[63],"corresponding":[64],"intensity":[65],"and":[66],"edges,":[68],"usually":[71],"slightly":[72],"displaced":[73],"due":[74],"nonperfect":[76],"reconstruction.":[78],"Our":[79],"experiments":[80],"demonstrate":[81],"how":[82],"proposed":[84],"approach":[87],"can":[88],"be":[89],"used":[90],"conjunction":[92],"active":[95],"contours":[96],"achieve":[99],"better":[100],"segmentation":[101],"results.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
