Gwara reVisual AI

Multi-View Stereo

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

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reMulti-View Stereo
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

Iyo inoshandura sparse skeleton kubva kuChimiro kubva kuMotion kuita yakadzama, yepamusoro-yakapfuma 3D modhi.

Kudzika Kwakadzika

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.

Kuitwa muNyika yeChokwadi

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

Ramangwana reMulti-View Stereo

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.

Kuzvishandisa

Nei zvichikosha

  • Kumhanya uye chiyero. Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
  • Vaka sarudzo. Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
  • Team uye workflow. Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.

Chenjera

  • Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.
  • Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.
  • Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.

Matanho anotevera

  1. Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
  2. Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
  3. Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
  4. Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

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

Take the Multi-View Stereo quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

Chii chinonzi Multi-View Stereo?

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.

Chii chinonzi Multi-View Stereo chinowanzo fungira chinotozivikanwa chisati chatanga?

MVS inotsamira pane yakatemerwa kamera nzvimbo, kazhinji inopihwa neChimiro kubva kuMotion, uye inotarisa pakudzika kwakadzika.

Ndeipi musimboti unoshandiswa neMVS kuwana chaiwo mapoinzi e3D?

Nzvimbo chaiyo yepasi inofanirwa kuoneka yakafanana kana ichiratidzwa mumifananidzo yese inoiona.

MVS inosiyana sei nekubuda kweStructure kubva kuMotion?

SfM inopa scaffold shoma; MVS inoisimbisa mune yakadzama nzvimbo inovhara ingangoita pixel yega yega.

Chii chinoitwa nendege-sweep stereo?

Inoedza kudzika kwevazhinji nekutsvaira ndege uye nekombuta mutengo unofananidzwa pane yega yega.

Ndedzipi nzvimbo dzakanyanya kuomera MVS?

Madziro asina chinhu anoshaya maficha anofananidzwa uye magirazi / inopenya nzvimbo inotyora foto-kuenderana, kutyora chiyero chekufananidza.