Apr 13, 2015 · Could someone, in plain english, explain the distinction between the fundamental matrix and the essential matrix in multi-view computer vision? How are they different, and how can each be …

Jul 30, 2015 · You can only get the essential matrix from the fundamental matrix if you know the camera intrinsics: E = K' * F * K where K is the intrinsic matrix and K' is its transpose.

I was wondering once you have recovered the fundamental matrix F such that xFx' = 0. If you try to recover translation and rotation from F, I am told that this is possible only up to scale? Why so?

Aug 23, 2024 · Ok so I just started writing a linear algebra toolbox in C++ for some other projects I have / plan on starting in the future. So I define a matrix as the fundamental building block and vectors, sca...

The simple notion of reduction is one of the most fundamental notions in complexity theory along with $\mathsf {P}$, $\mathsf {NP}$, and $\mathsf {NP}$ -complete (which we will discuss below). The …

Jul 26, 2017 · In this scenario, adjacency matrix don't seem to have an advantage of searching when the graph is dense; the only advantage adjacency matrix had. Then why would anyone prefer adjacency …

Jul 4, 2020 · Group theory is indeed useful in algorithm design. For example, matrix multiplication is a fundamental problem for which such approaches have been used (see e.g., Cohn et al. [1] or these …

Jul 29, 2025 · I’m specifically looking for fundamental arguments of the second kind. For example, how does the very concept of computation align with the way Turing machines are structured? Why is the …

Feb 26, 2021 · So, I will focus on the most fundamental thing: How does the computer actually compute? As you are probably familiar with, computers have memory called RAM, and a CPU that is …

As you increase the magnitudes of the input numbers, the length of the binary-encoded input grows, and the running time of the weak algorithm would grow, however the running time of the strong algorithm …