{"id":"https://openalex.org/W7160304518","doi":"https://doi.org/10.1109/wacv61042.2026.00015","title":"Enhanced Back-Projection of Vision Features for 3D Symmetry Detection","display_name":"Enhanced Back-Projection of Vision Features for 3D Symmetry Detection","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160304518","doi":"https://doi.org/10.1109/wacv61042.2026.00015"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5135322314","display_name":"Isaac Aguirre","orcid":null},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Isaac Aguirre","raw_affiliation_strings":["University of Chile,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chile,Department of Computer Science","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055991257","display_name":"Ivan Sipiran","orcid":"https://orcid.org/0000-0002-8766-3581"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Ivan Sipiran","raw_affiliation_strings":["University of Chile,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chile,Department of Computer Science","institution_ids":["https://openalex.org/I69737025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":null,"apc_paid":null,"fwci":24.1678,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99334298,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.1266999989748001,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.1266999989748001,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.11540000140666962,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.08940000087022781,"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/noise","display_name":"Noise (video)","score":0.33230000734329224},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3098999857902527},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.3068000078201294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28859999775886536}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5681999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393999814987183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4641000032424927},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3537999987602234},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.33230000734329224},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27059999108314514},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2572999894618988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1540641376","https://openalex.org/W1890845191","https://openalex.org/W1968027100","https://openalex.org/W1979034940","https://openalex.org/W1981537311","https://openalex.org/W1984583081","https://openalex.org/W1988041952","https://openalex.org/W1991517313","https://openalex.org/W1994838542","https://openalex.org/W1995050439","https://openalex.org/W1999732737","https://openalex.org/W2000403788","https://openalex.org/W2003168146","https://openalex.org/W2012255096","https://openalex.org/W2016080980","https://openalex.org/W2020415424","https://openalex.org/W2023507039","https://openalex.org/W2031367292","https://openalex.org/W2044914660","https://openalex.org/W2045323633","https://openalex.org/W2047954733","https://openalex.org/W2060206980","https://openalex.org/W2065604341","https://openalex.org/W2067160009","https://openalex.org/W2072202468","https://openalex.org/W2072637632","https://openalex.org/W2077031952","https://openalex.org/W2103907740","https://openalex.org/W2107302003","https://openalex.org/W2116404897","https://openalex.org/W2119880034","https://openalex.org/W2126435947","https://openalex.org/W2127431937","https://openalex.org/W2130178223","https://openalex.org/W2130595631","https://openalex.org/W2130882452","https://openalex.org/W2135781353","https://openalex.org/W2146549011","https://openalex.org/W2155840984","https://openalex.org/W2161271908","https://openalex.org/W2163071539","https://openalex.org/W2171655778","https://openalex.org/W2295140937","https://openalex.org/W2519126067","https://openalex.org/W2612843093","https://openalex.org/W2770276488","https://openalex.org/W2771000512","https://openalex.org/W2783933163","https://openalex.org/W2895823967","https://openalex.org/W2962780613","https://openalex.org/W2969548928","https://openalex.org/W2980847173","https://openalex.org/W2989341556","https://openalex.org/W2997180840","https://openalex.org/W3029048954","https://openalex.org/W3035523051","https://openalex.org/W3108839208","https://openalex.org/W3133642992","https://openalex.org/W3189085262","https://openalex.org/W3206507521","https://openalex.org/W4283702010","https://openalex.org/W4292551392","https://openalex.org/W4297792443","https://openalex.org/W4316259270","https://openalex.org/W4361215792","https://openalex.org/W4390873193","https://openalex.org/W4392864946","https://openalex.org/W4400581489","https://openalex.org/W4400943464","https://openalex.org/W4401275329","https://openalex.org/W4402704507","https://openalex.org/W4403777047","https://openalex.org/W4403777227","https://openalex.org/W4403885263","https://openalex.org/W4409262387"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"two":[2,43,65],"algorithms":[3],"for":[4,104,125],"3D":[5,32,128],"symmetry":[6,60,133],"detection":[7,75],"based":[8],"on":[9,69,96],"enhanced":[10,114],"back-projection":[11,26,115],"of":[12,31,116],"vision":[13,18,117],"features":[14,118],"extracted":[15],"from":[16],"foundation":[17],"models":[19],"such":[20,131],"as":[21,132],"DINOv2.":[22],"Our":[23],"method":[24,89],"enhances":[25],"by":[27,84],"rendering":[28],"multiple":[29],"views":[30],"objects,":[33],"extracting":[34],"features,":[35,57],"and":[36,48,53,62,81],"projecting":[37],"them":[38],"onto":[39],"the":[40],"geometry":[41],"with":[42],"key":[44],"improvements\u2014Fibonacci":[45],"view":[46,49],"sampling":[47],"rotations\u2014that":[50],"increase":[51],"robustness":[52],"accuracy.":[54],"Using":[55],"these":[56],"we":[58],"detect":[59],"planes":[61],"axes":[63],"through":[64],"dedicated":[66],"algorithms.":[67],"Experiments":[68],"ShapeNet":[70],"show":[71],"that":[72,113],"our":[73,110],"plane":[74],"approach":[76],"outperforms":[77],"both":[78],"traditional":[79],"geometric":[80,129],"learning-based":[82],"methods":[83],"a":[85,97,120],"wide":[86],"margin.":[87],"The":[88],"is":[90,136],"also":[91],"efficient,":[92],"running":[93],"in":[94],"seconds":[95],"single":[98],"8GB":[99],"GPU,":[100],"making":[101],"it":[102],"practical":[103],"large-scale":[105],"or":[106],"real-world":[107],"applications.":[108],"Overall,":[109],"results":[111],"demonstrate":[112],"offers":[119],"simple":[121],"yet":[122],"effective":[123],"framework":[124],"solving":[126],"fundamental":[127],"problems":[130],"detection.":[134],"Code":[135],"available":[137],"at":[138],"https://github.com/Spulp/EnhancedBackProjection.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-03T07:22:36.454288","created_date":"2026-05-06T00:00:00"}
