{"id":"https://openalex.org/W2199497895","doi":"https://doi.org/10.1109/ictc.2015.7354704","title":"Seamless image stitching using structure deformation with HoG matching","display_name":"Seamless image stitching using structure deformation with HoG matching","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2199497895","doi":"https://doi.org/10.1109/ictc.2015.7354704","mag":"2199497895"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2015.7354704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2015.7354704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5081614822","display_name":"Seohyung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seohyung Lee","raw_affiliation_strings":["Electronics and Radio Engineering Kyung Hee University, Yong-in, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Radio Engineering Kyung Hee University, Yong-in, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110906040","display_name":"Young-Tae Park","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngtae Park","raw_affiliation_strings":["Electronics and Radio Engineering Kyung Hee University, Yong-in, Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Radio Engineering Kyung Hee University, Yong-in, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032173768","display_name":"Daeho Lee","orcid":"https://orcid.org/0000-0002-8119-9677"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daeho Lee","raw_affiliation_strings":["Humanitas College Kyung Hee University, Yong-in, Korea"],"affiliations":[{"raw_affiliation_string":"Humanitas College Kyung Hee University, Yong-in, Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081614822"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79486449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"933","last_page":"935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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/image-stitching","display_name":"Image stitching","score":0.9767615795135498},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.9120986461639404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7043383121490479},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6388193964958191},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.6323983073234558},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6166919469833374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158166527748108},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5454346537590027},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5387768149375916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4945983588695526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4857659637928009},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4549703896045685},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3394041359424591},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24940171837806702},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0669538676738739}],"concepts":[{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.9767615795135498},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.9120986461639404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7043383121490479},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6388193964958191},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.6323983073234558},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6166919469833374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158166527748108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5454346537590027},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5387768149375916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4945983588695526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4857659637928009},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4549703896045685},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3394041359424591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24940171837806702},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0669538676738739},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"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/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2015.7354704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2015.7354704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7699999809265137,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2070391909","https://openalex.org/W2085261163","https://openalex.org/W2119605622","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2170605888","https://openalex.org/W6667759858","https://openalex.org/W6684723771"],"related_works":["https://openalex.org/W1565457536","https://openalex.org/W2353412837","https://openalex.org/W4387822693","https://openalex.org/W2405272225","https://openalex.org/W1974289846","https://openalex.org/W2182681094","https://openalex.org/W4200038363","https://openalex.org/W2994878781","https://openalex.org/W3202772837","https://openalex.org/W2981534051"],"abstract_inverted_index":{"In":[0,94,106],"this":[1],"paper,":[2],"we":[3,43,59,69,82,96,110],"propose":[4],"an":[5],"efficient":[6],"image":[7,14],"stitching":[8,15,19,114],"using":[9],"structure":[10,57,118],"deformation.":[11],"We":[12],"use":[13,44,60,97],"based":[16],"on":[17],"common":[18,113],"algorithms":[20,115],"such":[21],"as":[22],"speeded":[23],"up":[24],"robust":[25],"features":[26],"(SURF)":[27],"feature":[28,72],"detection,":[29],"approximated":[30],"nearest":[31],"neighbor":[32],"(ANN)":[33],"matching":[34,80,91],"and":[35,116],"random":[36],"sample":[37],"consensus":[38],"(RANSAC)":[39],"parameter":[40],"estimation.":[41],"And":[42],"homography":[45],"similarity":[46],"to":[47,101],"identify":[48],"if":[49],"input":[50],"images":[51],"have":[52],"enough":[53],"correlation.":[54],"To":[55,78],"reduce":[56],"misalignment,":[58],"double-seam":[61],"selection.":[62],"Through":[63],"local":[64],"maximum":[65],"in":[66],"gradient":[67],"domain,":[68],"find":[70,79,90],"1-D":[71],"points":[73,92],"along":[74],"with":[75,112],"each":[76],"seam.":[77],"points,":[81],"used":[83],"histogram":[84],"of":[85],"oriented":[86],"gradients":[87],"(HoG)":[88],"which":[89],"robustly.":[93],"addition,":[95],"multi-band":[98],"blending":[99],"algorithm":[100],"remove":[102],"intensity":[103],"difference":[104],"efficiently.":[105],"the":[107],"experimental":[108],"results,":[109],"compare":[111],"existing":[117],"deformation":[119],"algorithms.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}