Final answer:
To answer the student's question, the correct statements are: A) Triangle similarity is used in projection, C) The projection is non-linear, and E) The 3D camera projection matrix is indeed a 3 * 4 matrix. Statement B) is incorrect because '0' represents a zero vector and not a 3 * 3 matrix, and D) is also incorrect as the projection of a 3D object gets smaller, not bigger, as it moves away from the camera.
Step-by-step explanation:
The student has asked about the correctness of various statements regarding points on a 3D object projected onto an image plane using a projection matrix. Here are the correct statements:
- Triangle similarity is used to derive the fundamental relationship between world and image points in projection.
- The projection matrix expression M = K [I|0] does not mean that the 0 indicates a 3 * 3 matrix of zeros. In this context, '0' represents a zero vector, making M a 3 * 4 matrix that combines the camera's intrinsic parameters (K) and its position and orientation in the world (I for an identity matrix, and a zero vector for no translation).
- The projection of a 3D point is indeed non-linear, primarily because the projection involves division by the z-coordinate, which cannot be expressed as a weighted sum of the coordinates.
- The projection of a 3D object on an image plane actually gets smaller as the object's distance from the camera increases, contrary to statement D. This follows from the principles of perspective projection.
- The 3D camera projection matrix M is indeed a 3 * 4 matrix, which aligns with projective geometry conventions.