GAUSSIAN ELIMINATION METHOD AND GAUSS JORDAN ELIMINATION METHOD FOR SOLVING LINEAR EQUATION
Dual Representation
Mathematical analysis - Eigenvalues and eigenvectors
Fitting. We’ve learned how to detect edges, corners, blobs. Now what? We would like to form a higher-level, more compact representation of the features.
CS 558 C OMPUTER V ISION Lecture VIII: Fitting, RANSAC, and Hough Transform Adapted from S. Lazebnik.
“Procedural” is not enough B. Abramovitz, M. Berezina, A. Berman, L. Shvartsman 4 th MEDITERRANEAN CONFERENCE ON MATHEMATICS EDUCATION University of Palermo.
Sec 4.2 + Sec 4.3 + Sec 4.4
A matrix equation has the same solution set as the vector equation which has the same solution set as the linear system whose augmented matrix is Therefore:
Fitting & Matching Lecture 4 – Prof. Bregler Slides from: S. Lazebnik, S. Seitz, M. Pollefeys, A. Effros.
1 Chapter Content Real Vector Spaces Subspaces Linear Independence Basis and Dimension Row Space, Column Space, and Nullspace Rank and Nullity.
Chapter Content
Fitting & Matching
