To reconstruct point geometry from multiple images, computation of the fundamental matrix is always necessary. With a new optimization criterion, i.e., re-projective 3D metric geometric distance rather than projective space under RANSAC (Random Sample And Consensus) framework, our method can reveal quality visually through reconstruction. The projection error points to corresponding image pixel...

For a connected graph G , the distance matrix is real-symmetric where ( u v )-entry between vertex and in . The spectral radius of largest eigenvalue A series-reduced tree with at least one internal all vertices having degree three. Those trees that maximize are determined over fixed order maximum number leaves, respectively.

In this paper, block distance matrices are introduced. Suppose F is a square block matrix in which each block is a symmetric matrix of some given order. If F is positive semidefinite, the block distance matrix D is defined as a matrix whose (i, j)-block is given by D ij = F ii +F jj −2F ij. When each block in F is 1 × 1 (i.e., a real number), D is a usual Euclidean distance matrix. Many interes...