Stereo Depth Estimation
Stereo kudzika fungidziro inodzoreredza kuti zvinhu zviri kure zvakadii nekuenzanisa kaviri kadiki kamera mawonero, sezvinoita maziso ako maviri.
Pfupiso
It turns flat images into 3D distance maps that robots, cars, and phones rely on to understand space.
Kudzika Kwakadzika
Stereo kudzika fungidziro inoshandisa makamera maviri akasarudzika chinhambwe chakaparadzana (iyo yekutanga). Nzvimbo imwe cheteyo munyika inogara panzvimbo yakati siyanei zvishoma mumifananidzo yekuruboshwe nekurudyi, uye shanduko iyoyo inonzi disparity. Zvinhu zviri pedyo zvinochinja zvakanyanya; vari kure havatombopfakanyiki. Kudzama kunoverengerwa se (yakatarisana nehurefu x baseline) / mutsauko, saka hudzamu uye mutsauko zvine hukama. Chikamu chakaoma ndechekufananidza mapixels pakati pemifananidzo miviri, kunyanya pamadziro akajeka, kudzokorora mapatani, kana nzvimbo dzinoratidzira apo mapikisiki mazhinji anotaridzika zvakafanana. Nzira dzechinyakare senge Semi-Global Matching scanlines pamwe ne scanlines, nepo azvino akadzika network akadai sePSMNet uye RAFT-Stereo anodzidza akapfuma maficha uye anonatsiridza mutsauko nguva nenguva, achigadzira gobvu, kudzika kwakaringana kunyangwe munzvimbo dzinonyengera.
Technical Insight
Mapikicha ese ari maviri anotanga kugadziridzwa saka mapoinzi anofananidzira anorara pamutsara wakachinjika mumwe chete, zvichidzikisa kutsvaga kune imwe dimension. Huwandu hwemutengo unovakwa nekuyedza musiyano wega wega wepixel yega yega, kuyera kuti kuruboshwe nekurudyi zvinobvumirana zvakadii. Manetiweki anounganidza vhoriyamu iyi ne3D convolutions kana anodzokororwa zvinodzokororwa, wobva watora yakapfava-argmin pamusoro pekusiyana kuti uwane sub-pixel chaiyo. Hukama hwakasiyana pakati pekusiyana nekudzika hunoreva kudzika-kure kune ruzha pane kudzika kwepedyo.
Strategic Impact
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.
Ramangwana reStereo Depth Estimation
Tarisira kusangana kwakasimba kwestereo neLiDAR, radar, uye monocular cues kuitira kuti masisitimu adzikisire zvakanaka kana sensor imwe ikatadza. Transformer-based matching uye yekuzvitarisira-yega kudzidziswa (kudzidza kubva pavhidhiyo isina kudzika-yechokwadi kudzika) kuri kucheka kudiwa kwe data inodhura yakanyorwa. Pa-mudziyo kushanda zvakanaka kuri kuvandudza nekukurumidza, kuisa chaiyo-nguva stereo pane drones, magirazi eAR, uye marobhoti akachipa. Makamera ezviitiko uye maitiro akadzidza anovimbisa kudzika kwakavimbika kunyangwe muchiedza chakaderera, kusviba kwekufamba, uye zvimiro zvisina chimiro zvinokunda nzira dzanhasi.
Real-World Implementation
Kuzvityaira uye kunobatsira mutyairi anoshandisa makamera estereo kuona chinhambwe chemota, vanofamba netsoka, uye macurbs ekubhureki nekuchengeta nzira.
Warehouse uye ekurima marobhoti anovaka 3D mepu kuti abate zvinhu, kudzivirira zvipingamupinyi, uye kutora michero pakadzika chaipo.
AR / VR mahedhifoni senge passthrough zvishandiso anofungidzira kamuri geometry saka chaiwo zvinhu zvinogara zvakanaka panzvimbo chaiyo.
Mars rovers (semuenzaniso, Kutsungirira) anoshandisa stereo navigation makamera kuronga nzira dzakachengeteka pamusoro pematombo asina GPS.
Njodzi & Guardrails
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.
Implementation Roadmap
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Ramba Uchiongorora
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Gaidhi rinotevera
Marigold Diffusion Depth Estimation
Mibvunzo inowanzo bvunzwa
What is Stereo Depth Estimation?
Stereo kudzika fungidziro inodzoreredza kuti zvinhu zviri kure zvakadii nekuenzanisa kaviri kadiki kamera maonero, sezvinoita maziso ako maviri. Inoshandura mifananidzo yakati sandara kuita mamepu echinhambwe e3D ayo marobhoti, mota, uye mafoni anovimba nawo kuti anzwisise nzvimbo.
Chii chinonzi 'kusawirirana' muchiratidzo chestereo?
Kusiyana ndiko kuti nzvimbo inofambirana inosvika papi yakachinjika pakati pemaonero maviri akagadziridzwa; mutsauko mukuru zvinoreva kuti chinhu chiri pedyo.
Kudzika kunobatana sei nekusiyana?
Kudzika = (yakatarisana nehurefu x baseline) / mutsauko, kuitira kuti mutsauko uchiderera, kudzika kunofungidzirwa kunokura. Zvinhu zviri kure zvine mutsauko mudiki.
Sei mifananidzo 'yakagadziriswa' isati yafananidzwa?
Kugadzirisa kunokanganisa mifananidzo yese kuitira kuti machisi anovharirwa kune imwe yakachinjika mutsara, ichishandura kutsvaga kwe2D kuita kutsvaga kwe1D nekukurumidza.
Ndeipi mamiriro akanyanya kuoma pakufananidza stereo?
Mavara asina mavara kana anodzokororwa anoita kuti akawanda mapixels ataridzike akafanana, saka algorithm haigone kuwana zvine chivimbo mechi chaiyo.
Ko 'baseline' inorevei?
Iyo yekutanga ndiyo kupatsanurwa pakati penzvimbo mbiri dzekamera; hwaro hwakakura hunovandudza huchokwadi hwezvinhu zviri kure.