Direct Linear Transformation: Practical Applications and Techniques in Computer Vision
Π ΠΎΠ²ΠΎΡ Π΅-ΠΊΡΠΈΠ·ΠΈ
Direct linear transformation, also known as DLT, is an algorithm that solves a set of variables by using a set of similarity relations as the working set. In the field of projective geometry, this kind of relation is encountered quite frequently. Examples that are applicable to real-world situations include homographies and the relationship between three-dimensional points in a scene and their projection onto the image plane of a pinhole camera.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Direct linear transformation
Chapter 2: Linear map
Chapter 3: Linear subspace
Chapter 4: Cholesky decomposition
Chapter 5: Invertible matrix
Chapter 6: Quadratic form
Chapter 7: Homogeneous function
Chapter 8: Kernel (linear algebra)
Chapter 9: PlΓΌcker coordinates
Chapter 10: TP model transformation in control theory
(II) Answering the public top questions about direct linear transformation.
(III) Real world examples for the usage of direct linear transformation in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Direct Linear Transformation.
