{"id":"https://openalex.org/W2577364290","doi":"https://doi.org/10.1109/vcip.2016.7805559","title":"Pyramid stereo matching for spherical panoramas","display_name":"Pyramid stereo matching for spherical panoramas","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2577364290","doi":"https://doi.org/10.1109/vcip.2016.7805559","mag":"2577364290"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2016.7805559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","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/A5082041657","display_name":"Jian Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Weng","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100756634","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-4960-3190"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428755","display_name":"Weidong Zhang","orcid":"https://orcid.org/0000-0003-0081-930X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031052395","display_name":"Jianjie Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjie Gao","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082041657"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60226224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"4"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8498473167419434},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8255642056465149},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.8242899179458618},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6995184421539307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577615141868591},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6435014605522156},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4662180542945862},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4438643157482147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3785291016101837},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3524255156517029},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3514025807380676},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3319469690322876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2274438738822937},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07618352770805359}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8498473167419434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8255642056465149},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.8242899179458618},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6995184421539307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577615141868591},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6435014605522156},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4662180542945862},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4438643157482147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3785291016101837},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3524255156517029},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3514025807380676},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3319469690322876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2274438738822937},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07618352770805359},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2016.7805559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2016.7805559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1665561247","https://openalex.org/W1967239985","https://openalex.org/W1978338723","https://openalex.org/W1988979648","https://openalex.org/W2013955188","https://openalex.org/W2039699512","https://openalex.org/W2044542697","https://openalex.org/W2052094314","https://openalex.org/W2105303354","https://openalex.org/W2115583071","https://openalex.org/W2129404737","https://openalex.org/W2133192850","https://openalex.org/W2170921316"],"related_works":["https://openalex.org/W1978569796","https://openalex.org/W2133015937","https://openalex.org/W2384918310","https://openalex.org/W2170263972","https://openalex.org/W2366517245","https://openalex.org/W2944617510","https://openalex.org/W2383808867","https://openalex.org/W2372581239","https://openalex.org/W2107893065","https://openalex.org/W2544012655"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,37],"novel":[4],"pyramid":[5,40],"stereo":[6,38],"matching":[7,12,39,64],"method":[8],"to":[9,43],"improve":[10],"the":[11,45,52,57,63,69],"accuracy":[13,65],"of":[14],"panoramas.":[15,35,59],"Initial":[16],"camera":[17],"parameters":[18],"and":[19,51],"feature":[20,46],"correspondences":[21,47],"are":[22],"obtained":[23],"from":[24,33],"Structure":[25],"From":[26],"Motion":[27],"(SFM)":[28],"with":[29],"normal":[30],"images":[31],"extracted":[32],"two":[34],"Then":[36],"is":[41,54],"constructed":[42],"refine":[44],"layer":[48],"by":[49,68],"layer,":[50],"correspondence":[53],"corrected":[55],"in":[56],"original":[58],"Experimental":[60],"results":[61],"show":[62],"gains":[66],"provided":[67],"proposed":[70],"approach.":[71]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
