Quiz stéréo yu bari

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

1. Lan la Multi-View Stereo di xalaat ni xam nañu ko bu njëkk balaa muy tàmbali?
   • Kameraa bi dafay pose nataal bu nekk
   • 3D mesh bi mujj
   • Kulòoru surface bu nekk
   • Tur yi mbir yi ci seen bi
2. Ban njàngale bu am solo la MVS di jëfandikoo ngir am poñ 3D yu jaar yoon?
   • Yokkatal leeralu nataal bi
   • Mbootaayu nataal ci gis-gis yu bari
   • Wàññi dayo fichier bi
   • échantillonnage aléatoire de pixels
3. Lan moo wuutale MVS ak génnug structure ci motion?
   • MVS benn nataal kese lay dox
   • MVS du bàyyi xel ci barabu kameraa bi
   • MVS dafay defar xóotaayu pixel bu nekk, waaye SfM dafay joxe niir bu néew
   • MVS dafay genne audio ci barabu geometrie
4. Luy stéréo buy bale avion?
   • Dafay wëlbati kameraa bi
   • Dafay bale pënd ci lenti bi
   • Tànntal nataal yi ci alfabe
   • Dafay bale ab avion virtuel ci biir xóotaayu te gis fi gis-gis yi gëna méngoo
5. Yan surface ñoo gëna tar ci MVS?
   • surface yu amul texture ak yuy seeral
   • Surface yuñ defaree melo yu yànj
   • surface xeer yu ñaw
   • Lépp lu am catu ñaw
6. Ak naka la pexe yu lalu ci njàng yu melni MVSNet di yokku ci MVS yu yàgg yi?
   • Dañu dindi bépp soxla kamera
   • Dañu jàng njëg yu méngoo ak xóotaayu yamaleg njeexte ba njeexte ngir gëna am doole
   • Dañuy liggéey ci grayscale
   • Dañuy defar nataali 2D ci barabu 3D
7. How may an MVS system compare a hypothesized depth across neighboring views?
   • Compare only the file names
   • Use the language-model perplexity
   • Warp image patches and measure their appearance agreement, for example with normalized cross-correlation
   • Count camera metadata fields
8. After per-image depth maps are estimated, what can MVS do with them?
   • Convert them into language tokens
   • Replace the camera poses with labels
   • Discard all cross-view information
   • Fuse them into a denser point cloud or mesh and filter inconsistencies