Computer Vision: Image Formation and Transformation

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Page 3 of 3

Image Processing II: Bayesian Classification and Decision Making

Explores Bayesian classification, decision making, and pattern recognition applications in image processing.

3D Transformations: Basics and Euler Angles

Covers 3D transformations, Euler angles, and rotation in computer graphics.

Transformations Affines

Covers the concept of affine transformations in functions, including shifting and compressing functions.

Generative Adversarial Networks: Data Synthesis Techniques

Discusses Generative Adversarial Networks and their applications in synthesizing data and generating images.

Multivariable Control: Gaussian Processes and Linear Systems

Explores Gaussian processes, linear systems, transformations, and noise properties in multivariable control applications.

Image Classification: Decision Trees & Random Forests

Explores image classification using decision trees and random forests to reduce variance and improve model robustness.

Rasterization: Transformations

Explains the process of projecting 3D objects onto a 2D image plane using transformations and forward rendering.

Perception: Data-Driven Approaches

Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.

Geometric Transformations: Meanings and Applications

Explores geometric transformations, invariant properties, and mean relationships in modern geometry.

Symmetry in Modern Geometry

Delves into modern geometry, covering transformations, isometries, and symmetries.