{"id":"https://openalex.org/W4384305915","doi":"https://doi.org/10.1145/3588028.3603650","title":"Point Anywhere: Directed Object Estimation from Omnidirectional Images","display_name":"Point Anywhere: Directed Object Estimation from Omnidirectional Images","publication_year":2023,"publication_date":"2023-07-14","ids":{"openalex":"https://openalex.org/W4384305915","doi":"https://doi.org/10.1145/3588028.3603650"},"language":"en","primary_location":{"id":"doi:10.1145/3588028.3603650","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588028.3603650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2023 Posters","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.01010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032630619","display_name":"Nanami Kotani","orcid":"https://orcid.org/0009-0005-6534-4589"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nanami Kotani","raw_affiliation_strings":["Tokyo Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0009-0005-6534-4589","affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045505869","display_name":"Asako Kanezaki","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Asako Kanezaki","raw_affiliation_strings":["Tokyo Institute of Technology, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3217-1405","affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032630619"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.164,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47319137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983999729156494,"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/computer-vision","display_name":"Computer vision","score":0.813886284828186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.809462308883667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7663410902023315},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5998306274414062},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5904151201248169},{"id":"https://openalex.org/keywords/omnidirectional-antenna","display_name":"Omnidirectional antenna","score":0.5645329356193542},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.554031252861023},{"id":"https://openalex.org/keywords/omnidirectional-camera","display_name":"Omnidirectional camera","score":0.5032214522361755},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.49878978729248047},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4758997857570648},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46076110005378723},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.45473557710647583},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4303463101387024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2626977562904358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14042407274246216}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.813886284828186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.809462308883667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663410902023315},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5998306274414062},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5904151201248169},{"id":"https://openalex.org/C24027999","wikidata":"https://www.wikidata.org/wiki/Q2176348","display_name":"Omnidirectional antenna","level":3,"score":0.5645329356193542},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.554031252861023},{"id":"https://openalex.org/C2777953668","wikidata":"https://www.wikidata.org/wiki/Q684116","display_name":"Omnidirectional camera","level":4,"score":0.5032214522361755},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.49878978729248047},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4758997857570648},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46076110005378723},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.45473557710647583},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4303463101387024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2626977562904358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14042407274246216},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3588028.3603650","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3588028.3603650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2023 Posters","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.01010","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.01010","pdf_url":"https://arxiv.org/pdf/2308.01010","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.01010","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.01010","pdf_url":"https://arxiv.org/pdf/2308.01010","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2059327929","https://openalex.org/W2550288500","https://openalex.org/W2559085405","https://openalex.org/W2910193349","https://openalex.org/W2964781572","https://openalex.org/W3193260340"],"related_works":["https://openalex.org/W2898919627","https://openalex.org/W4379536980","https://openalex.org/W2666300258","https://openalex.org/W1989062809","https://openalex.org/W2118689766","https://openalex.org/W2625795345","https://openalex.org/W2215517927","https://openalex.org/W2137384304","https://openalex.org/W114721022","https://openalex.org/W1966688224"],"abstract_inverted_index":{"One":[0],"of":[1,34,41,53,67,86],"the":[2,26,31,35,39,50,56,70,84,87,95],"intuitive":[3],"instruction":[4],"methods":[5],"in":[6,90],"robot":[7],"navigation":[8],"is":[9,46],"a":[10,18],"pointing":[11,36],"gesture.":[12],"In":[13],"this":[14],"study,":[15],"we":[16,80],"propose":[17],"method":[19,58],"using":[20],"an":[21],"omnidirectional":[22],"camera":[23],"to":[24,49],"eliminate":[25],"user/object":[27],"position":[28],"constraint":[29,33],"and":[30,43,73],"left/right":[32],"arm.":[37],"Although":[38],"accuracy":[40],"skeleton":[42],"object":[44,89],"detection":[45],"low":[47],"due":[48],"high":[51],"distortion":[52],"equirectangular":[54,71],"images,":[55],"proposed":[57],"enables":[59],"highly":[60],"accurate":[61],"estimation":[62,96],"by":[63],"repeatedly":[64],"extracting":[65],"regions":[66],"interest":[68],"from":[69],"image":[72],"projecting":[74],"them":[75],"onto":[76],"perspective":[77],"images.":[78],"Furthermore,":[79],"found":[81],"that":[82],"training":[83],"likelihood":[85],"target":[88],"machine":[91],"learning":[92],"further":[93],"improves":[94],"accuracy.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}