InoteveraGaidhi rinotevera
Kutsvaga Kureva kweStereo
AI Yekutarisa
Gwara reVisual AI
Multi-View Stereo (MVS) inotora akawanda akarukwa mafoto echiitiko uye inogadzira yakaomesesa 3D kuvaka patsva nekufungidzira kudzika kunenge pixel yega yega.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Iyo inoshandura sparse skeleton kubva kuChimiro kubva kuMotion kuita yakadzama, yepamusoro-yakapfuma 3D modhi.
MVS inofungidzira kuti kamera inomira yave kutozivikanwa (kazhinji kubva kuChimiro kubva kuMotion) uye inotarisa kudzoreredza geometry. Yayo musimboti musimboti ndeye foto-kuenderana: inonyatso fungirwa 3D pamusoro penzvimbo inofanirwa kutaridzika zvakafanana kana ichifungidzirwa mumifananidzo yakawanda inoiona. Algorithms inoedza kudzika kwepixel yega yega uye sarudza kudzika uko kutaridzika kwemaonero kunobvumirana zvakanyanya, kazhinji uchishandisa ndege-yekutsvaira stereo kana chigamba-based matching (semune nzira yekare yePMVS). Mamepu e-per-image kudzika anozosanganiswa kuita yakabatana point gore kana mesh, kugadzirisa kusawirirana uye kusefa kunze. Kubata zvivhariso, madziro asina mavara, uye nzvimbo dzinoratidzira ndicho chinonetsa chepakati. Kudzidza-based MVS network seMVSNet ikozvino inovaka mavhoriyamu emitengo uye kuagadzirisa ne 3D convolutions kuti iwedzere kusimba.
Kugadzira dense, yakadzama 3D meshes yezvivakwa uye nzvimbo kubva kune drone kana yemhepo mifananidzo.
Kugadzira yakakwirira-kutendeseka 3D scans yezvinhu uye zvigadzirwa zve e-commerce, mitambo, uye VR
Kuvaka mapatya edhijitari emafekitori nenzvimbo dzekuvaka dzekuongorora nekuronga
Kugadzirazve yakadzama nzvimbo uye zvimiro kubva kuunganidzwa setiraiti kana danho remumugwagwa
Kudzidza kwakadzama kuri kugadziridza MVS: network seMVSNet uye vatevedzeri vayo vanodzidza kuenzanisa mutengo uye kudzika kwekugadzirisa kuguma-kusvika-kumagumo, kubata isina kusimba-chimiro uye inotarisisa nzvimbo zviri nani kupfuura nzira dzakarongwa nemaoko. Munda uyu urikusangana zvakare neural rendering - Gaussian Splatting neNeRF inopa mamwe madhiri ekuvakazve - kusundira MVS kusvika pakuvimbika kwepamusoro, kukurumidza kumhanya nguva, uye metric-chaiyo modhi yeAR, marobhoti, mapatya edhijitari, uye hombe-hombe 3D mepu yeguta.
Tsamba yemahara
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Multi-View Stereo (MVS) inotora akawanda akarukwa mafoto echiitiko uye inogadzira yakaomesesa 3D kuvaka patsva nekufungidzira kudzika kunenge pixel yega yega. Iyo inoshandura sparse skeleton kubva kuChimiro kubva kuMotion kuita yakadzama, yepamusoro-yakapfuma 3D modhi.
MVS inotsamira pane yakatemerwa kamera nzvimbo, kazhinji inopihwa neChimiro kubva kuMotion, uye inotarisa pakudzika kwakadzika.
Nzvimbo chaiyo yepasi inofanirwa kuoneka yakafanana kana ichiratidzwa mumifananidzo yese inoiona.
SfM inopa scaffold shoma; MVS inoisimbisa mune yakadzama nzvimbo inovhara ingangoita pixel yega yega.
Inoedza kudzika kwevazhinji nekutsvaira ndege uye nekombuta mutengo unofananidzwa pane yega yega.
Madziro asina chinhu anoshaya maficha anofananidzwa uye magirazi / inopenya nzvimbo inotyora foto-kuenderana, kutyora chiyero chekufananidza.
Ramba uchidzidza
Mamwe madhairekitori akasarudzirwa nyaya iyi
InoteveraGaidhi rinotevera
Kutsvaga Kureva kweStereo
AI Yekutarisa