{"id":"https://openalex.org/W4414169867","doi":"https://doi.org/10.1109/avss65446.2025.11149906","title":"Finding Optimal Viewpoints for Monocular 3D Human Pose Estimation in Dynamic 3D Gaussian Splatting Space","display_name":"Finding Optimal Viewpoints for Monocular 3D Human Pose Estimation in Dynamic 3D Gaussian Splatting Space","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4414169867","doi":"https://doi.org/10.1109/avss65446.2025.11149906"},"language":"en","primary_location":{"id":"doi:10.1109/avss65446.2025.11149906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss65446.2025.11149906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS)","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":null,"display_name":"Wan-Gi Bae","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wan-Gi Bae","raw_affiliation_strings":["School of Computer Science and Engineering Kyungpook National University,Daegu,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Kyungpook National University,Daegu,South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104078724","display_name":"Sanghyeon Lee","orcid":"https://orcid.org/0009-0005-0475-690X"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghyeon Lee","raw_affiliation_strings":["School of Computer Science and Engineering Kyungpook National University,Daegu,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Kyungpook National University,Daegu,South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000134514","display_name":"Jong Taek Lee","orcid":"https://orcid.org/0000-0002-6962-3148"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Taek Lee","raw_affiliation_strings":["School of Computer Science and Engineering Kyungpook National University,Daegu,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Kyungpook National University,Daegu,South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9995999932289124,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/pose","display_name":"Pose","score":0.7439000010490417},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.7300000190734863},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.578499972820282},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5486000180244446},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4652000069618225},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.44130000472068787},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.40400001406669617},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.3813999891281128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807200014591217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7764999866485596},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7439000010490417},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.7300000190734863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.722000002861023},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.578499972820282},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5486000180244446},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4652000069618225},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.44130000472068787},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.3813999891281128},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.35679998993873596},{"id":"https://openalex.org/C3018868555","wikidata":"https://www.wikidata.org/wiki/Q2918907","display_name":"Single camera","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.31279999017715454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss65446.2025.11149906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss65446.2025.11149906","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2215643317","https://openalex.org/W2612706635","https://openalex.org/W2615547864","https://openalex.org/W2916798096","https://openalex.org/W2963598138","https://openalex.org/W2963864421","https://openalex.org/W2964291722","https://openalex.org/W2968459013","https://openalex.org/W2991458209","https://openalex.org/W2997769754","https://openalex.org/W2998273692","https://openalex.org/W3034217102","https://openalex.org/W3035237020","https://openalex.org/W3035416506","https://openalex.org/W3092189745","https://openalex.org/W3169891778","https://openalex.org/W3205692229","https://openalex.org/W4200304330","https://openalex.org/W4206215118","https://openalex.org/W4304084074","https://openalex.org/W4385318467","https://openalex.org/W4386075765","https://openalex.org/W4387725608","https://openalex.org/W4390874423","https://openalex.org/W4399574574","https://openalex.org/W4402727915","https://openalex.org/W4402915949","https://openalex.org/W4405179257"],"related_works":[],"abstract_inverted_index":{"Monocular":[0],"3D":[1,9,77,87],"human":[2],"pose":[3,116,135],"estimation":[4,117,136],"(HPE)":[5],"focuses":[6],"on":[7,42,57],"locating":[8],"joint":[10],"positions":[11],"from":[12,20],"a":[13,69,81,105],"single":[14],"viewpoint.":[15],"However,":[16],"it":[17],"often":[18],"suffers":[19],"viewpoint-dependent":[21],"depth":[22],"ambiguities":[23],"and":[24,83,98,126],"occlusions,":[25],"emphasizing":[26],"that":[27,49,60,114],"next-best-viewpoint":[28],"(NBV)":[29],"selection":[30,55,74],"becomes":[31],"crucial.":[32],"Prior":[33],"work":[34],"has":[35],"explored":[36],"NBV":[37,73],"selection,":[38],"but":[39],"typically":[40],"relies":[41],"datasets":[43],"with":[44],"fixed,":[45,124],"discrete":[46],"camera":[47,128],"setups":[48],"do":[50],"not":[51],"support":[52],"continuous":[53,82,93],"viewpoint":[54],"or":[56],"synthetic":[58],"environments":[59],"lack":[61],"photorealism.":[62],"To":[63],"address":[64],"these":[65],"shortcomings,":[66],"we":[67,103],"propose":[68],"novel":[70],"pipeline":[71],"for":[72],"in":[75,134],"monocular":[76],"HPE.":[78],"We":[79],"construct":[80],"photorealistic":[84],"environment,":[85,102],"using":[86],"Gaussian":[88],"Splatting":[89],"(3DGS),":[90],"which":[91],"provides":[92],"novel-view":[94],"rendering":[95],"both":[96],"spatially":[97],"temporally.":[99],"Within":[100],"this":[101],"enable":[104],"reinforcement":[106],"learning":[107],"(RL)":[108],"agent":[109],"to":[110],"actively":[111],"select":[112],"NBVs":[113],"minimize":[115],"error.":[118,137],"Our":[119],"approach":[120],"is":[121,140],"evaluated":[122],"against":[123],"random,":[125],"rotating":[127],"trajectories,":[129],"achieving":[130],"over":[131],"24%":[132],"improvement":[133],"The":[138],"code":[139],"available":[141],"at":[142],"https://github.com/knu-vis/FOV.":[143]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}