quiz bu lëkkale ak tegtal · Diggante Niveau
Quiz buy liggéey ci niir yi
Saytu ni sistem point-cloud yi di denc geometrie 3D bu jaxasoowul ci jamono ji ñuy setal scanner yi ak man-mani jàng ci eskaal yu bari.
Laaj 1 de 8
Luy niir poñ?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Luy niir poñ?
- Ay poñ 3D yuy fësal kaw yi ci jawwu ji
- Griy 2D bu am pixel yu am melo
- Ay serwër yu bari yuy liggéey ci ay grafik
- kàrtu meteo buy wane niir yi
- Lu tax mënu ñu jëfandikoo CNNs nataal yiñ miin ci niir yu am poñ yi?
- Niir yi dañu tuuti lool
- Punt yi duñu ranger te amul benn xeetu griy buñ yamale
- Niir point yi amul benn leeral ci wàllu barab
- CNN yi duñu liggéey lu weex ak lu ñuul
- Ban màndarga bu am solo la reso cloud point wara jox cër?
- Kulòor budul soppiku
- Liggéey bu jaar yoon, joge cammoñ dem ndeyjoor
- permutasioŋ invariansi ngir dajale poñ yi
- Dayo nataal bu takku
- naka la ko PointNet mënee moom boppam ci wàllu yoon?
- Ni ñuy tànnee poñ yi ci alfabe
- Sooy njëkka soppi poñ yi ci pixel
- Soo sànnee lépp ludul poñ bu njëkk bi
- Jëfandikoo ab fonction symétrique bu melni max-pooling ci kaw man-mani poñ bu nekk
- Luy algorithm bi gëna jege (ICP) di def?
- Dafay méngale ñaari niir yu am poñ ci benn kaadar coordonnée buñ bokk
- Dafay komprime niir yi ngir denc
- Kulòor yi dañuy méngoo ak kawewaay
- Gis kanam yi ci scanner 3D
- Lu tax ñuy faral di jëfandikoo wàññi voxel?
- Ngir yokk yeneen poñ ci ay detay
- Ngir wàññi niir yu rëy te dëgër yi ci dayo bu gëna méngoo
- Ngir soppi done 3D ci audio
- ngir encrypter niir poñ yi
- What does PointNet++ add beyond PointNet’s independent per-point feature processing?
- A fixed left-to-right order for every point cloud
- An image-only convolution applied to RGB pixels
- Hierarchical grouping of nearby points to learn local features at multiple scales
- A rule that deletes every point outside the origin
- Why might a point-cloud pipeline remove statistical outliers before modeling?
- To create an ordered sequence from the remaining points
- To convert the cloud into a two-dimensional audio spectrogram
- To add synthetic surface normals to every point
- To discard isolated noisy points that do not fit the surrounding point distribution