Kuis Fungsi Jarak yang Ditandatangani

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. Apa yang dihasilkan oleh fungsi jarak bertanda untuk titik 3D tertentu?
   • Jarak ke permukaan terdekat, dengan tanda masuk/luar
   • Warna permukaan pada saat itu
   • Banyaknya segitiga di dekat titik tersebut
   • Kecerahan pemandangan
2. Di manakah lokasi sebenarnya permukaan SDF?
   • Dimana fungsinya menjadi maksimal
   • Pada set level nol (jarak sama dengan nol)
   • Dimana tandanya selalu positif
   • Di tengah kotak pembatas
3. Where does a true signed distance function satisfy the unit-gradient eikonal condition?
   • At every point, including all nonsmooth points
   • Only at the zero level set
   • At differentiable points, which is almost everywhere for common surfaces
   • Only outside the shape
4. Bagaimana penelusuran bola menggunakan nilai SDF?
   • Itu selalu melangkah dengan jumlah tetap yang kecil
   • Ia melangkah mundur untuk menghindari permukaan
   • Itu mengabaikan SDF dan sampel secara acak
   • Ini melangkah maju dengan nilai SDF, jarak aman ke permukaan terdekat
5. Apa yang digunakan DeepSDF untuk mewakili bentuk tertentu?
   • Kode laten kompak yang dimasukkan ke dalam jaringan saraf
   • Jaring segitiga penuh disimpan dalam memori
   • Satu gambar RGB
   • Daftar posisi kamera
6. What is one useful property of an SDF representation compared with a fixed triangle mesh?
   • It guarantees exact geometry regardless of training data or sampling
   • It is a continuous function that can be queried at chosen resolutions, subject to representation accuracy and compute
   • It always uses less memory than every possible mesh
   • It eliminates the need to compute surface normals
7. How can a signed distance function support robot collision checking?
   • It identifies the material composition of each obstacle
   • It predicts the robot's battery life from its pose
   • It gives a distance to nearby surfaces that can help determine clearance from obstacles
   • It converts a robot path into a camera image
8. In the NeuS reconstruction method, what representation is learned for a scene surface?
   • A fixed list of RGB colors with no geometry
   • An unordered set of camera exposure settings
   • A text caption for each image without a 3D representation
   • The surface is represented as the zero-level set of a neural signed distance function