quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz buy xayma xóotaayu stéréo

Saytu ni geometri kamera stéréo, méngoo disparite, volume njëg, ak fusion kaptër di jàppale ci xayma xóotaayu 3D bu wóor.

Yooni njiit yu jëm ciXayma xóotaayu stéréo
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Luy 'differité' ci gis-gis stéréo?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Luy 'differité' ci gis-gis stéréo?
    • toxug horizontal bu poñ bi méngoo diggante nataalu cammoy bi ak bu ndeyjoor bi
    • Seen wuutu ci leeraay bi am ci diggante ñaari kamera yi
    • Diggante bu taxaw bi am ci digganté ñaari kamera yi
    • Kulòor bu wuute bi lens yi waral
  2. naka la xóotaayu lëkkale ak wuute?
    • xóotaayu mingi méngoo bu baax ak wuute gi
    • xóotaayu mbir yi mën nañu ko méngale ak wuute gi
    • xóotaayu mingi méngoo ak disparite yoon liiñ bu njëkk bi
    • xóotaayu amul benn lëkkaloo ak wuute
  3. Lan moo waral ñuy 'jubbanti' nataal yi balaa ñuy méngoo?
    • Ngir yokk dayo nataal bi
    • Ngir dindi melo yi ci nataal yi
    • Ngir defar poñ yu méngoo tëdd ci benn liiñ bu tëdd
    • Ngir nëbb mbir yuy toxu
  4. Ban senaario moo gëna tar ngir méngale stéréo?
    • Scene extérieur bu bari texture
    • Jege-jege tapi bu am motif
    • Seen bu am ay boor yu dëgër te wuute
    • Kuur bu weex bu amul dara
  5. Luy 'baseline'?
    • Distance physique bi am ci digganté ñaari camera yi
    • xóotaayu gëna ndaw biñ mëna gis
    • Jamonoy exposition bu kaadar royuwaay bi
    • Leer gi gëna ndaw ci nataal bi
  6. Luy 'volume coût' ci reso stéréo yu xóot yi?
    • Natt jëfandikoo mémoire GPU
    • Ab jagleel 3D buy wane ni man-man yi di méngoo ak wuute gi ci kàndidaa bu nekk
    • Njëg li ci dolaar ngir aparey kamera
    • Limu kategori mbir yiñ gis
  7. Why are depth estimates often noisier for faraway objects than nearby ones?
    • Far objects always occupy more pixels than nearby objects
    • Stereo depth is calculated from color saturation rather than disparity
    • Far objects have small disparity, so a small disparity error can produce a larger depth error
    • The camera baseline increases automatically with object distance
  8. What can LiDAR add when it is fused with stereo depth estimation?
    • A replacement for all image data in every scene
    • A guarantee that stereo estimates have no errors
    • A way to remove the need for camera calibration
    • An additional depth measurement that can help constrain stereo matching