{"id":"https://openalex.org/W2524423311","doi":"https://doi.org/10.1145/2964284.2967244","title":"Context-aware Geometric Object Reconstruction for Mobile Education","display_name":"Context-aware Geometric Object Reconstruction for Mobile Education","publication_year":2016,"publication_date":"2016-09-29","ids":{"openalex":"https://openalex.org/W2524423311","doi":"https://doi.org/10.1145/2964284.2967244","mag":"2524423311"},"language":"en","primary_location":{"id":"doi:10.1145/2964284.2967244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2967244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM international conference on Multimedia","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/A5113717571","display_name":"Jinxin Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinxin Zheng","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781631","display_name":"Yongtao Wang","orcid":"https://orcid.org/0000-0003-1379-2206"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103175239","display_name":"Zhi Tang","orcid":"https://orcid.org/0000-0002-6021-8357"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Tang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113717571"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09478578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9976999759674072,"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/T10888","display_name":"Augmented Reality Applications","score":0.9976999759674072,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9940000176429749,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9886000156402588,"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":0.7360170483589172},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5883060097694397},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5540317296981812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48448774218559265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.407795786857605},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.34163355827331543},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07935968041419983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360170483589172},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5883060097694397},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5540317296981812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48448774218559265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.407795786857605},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34163355827331543},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07935968041419983},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2964284.2967244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2967244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G2349566766","display_name":null,"funder_award_id":"61300061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1862903894","https://openalex.org/W1964366102","https://openalex.org/W1966994208","https://openalex.org/W1984100918","https://openalex.org/W1987458652","https://openalex.org/W2000767461","https://openalex.org/W2026940313","https://openalex.org/W2053114033","https://openalex.org/W2071003912","https://openalex.org/W2101178275","https://openalex.org/W2107842627","https://openalex.org/W2115499639","https://openalex.org/W2121884935","https://openalex.org/W2126556022","https://openalex.org/W2127036696","https://openalex.org/W2147817141","https://openalex.org/W2157441469","https://openalex.org/W2159815232","https://openalex.org/W2170321477","https://openalex.org/W2172152159","https://openalex.org/W2273969303","https://openalex.org/W3145063618"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"The":[0,61],"solid":[1,100],"geometric":[2,7,30,45,86,101],"objects":[3,31,102,108],"in":[4],"the":[5,29,37,44,48,54,72,80,85,125],"educational":[6],"books":[8],"are":[9],"usually":[10],"illustrated":[11],"as":[12,110],"2D":[13,33],"line":[14,49],"drawings":[15],"accompanied":[16],"with":[17],"description":[18],"text.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,40,78],"present":[24],"a":[25,67],"method":[26,65,94,119],"to":[27,34,70,83,124],"recover":[28,89,96],"from":[32,47,58],"3D.":[35],"Unlike":[36],"previous":[38,126],"methods,":[39],"not":[41],"only":[42],"use":[43],"information":[46,56],"drawing":[50],"itself,":[51],"but":[52],"also":[53],"textual":[55],"extracted":[57],"its":[59,90],"context.":[60],"essential":[62],"of":[63,75,99],"our":[64,118],"is":[66],"cost":[68,81],"function":[69,82],"mix":[71],"two":[73],"types":[74,98],"information,":[76],"and":[77,88,106,113],"optimize":[79],"identify":[84],"object":[87],"3D":[91],"information.":[92],"Our":[93],"can":[95],"various":[97],"including":[103],"straight-edge":[104],"manifolds":[105],"curved":[107],"such":[109],"cone,":[111],"cylinder":[112],"sphere.":[114],"We":[115],"show":[116],"that":[117],"performs":[120],"significantly":[121],"better":[122],"compared":[123],"ones.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
