Visual Intelligence: Machines and Minds

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Machine Learning for Feature Extraction

Explores machine learning for feature extraction, 3D vision, and neural networks in mobile robotics.

Unsupervised Domain Mapping: Geometry-Consistent GAN

Explores unsupervised domain mapping using a novel geometry-consistent GAN approach.

Perception and Action: Anatomic Conventions, Homunculus, Body Scheme

Explores anatomic conventions, homunculus mapping, and body scheme integration in perception and action.

Transformations Affines

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

Visual Intelligence: Introduction

Explores visual intelligence, evolution of vision and action, and the ecological approach to visual perception.

Computer Vision Basics: Image Processing and Feature Detection

Covers the basics of computer vision, focusing on image processing techniques and feature detection.

Multivariable Control

Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.

Axonometry: Image of Points and True Magnitude of Segments

Explains axonometry, focusing on image of points and true magnitude of segments in 3D space.

Neuroscience and Machine Learning: Understanding Visual Intelligence

Explores the relationship between neuroscience and machine learning in visual intelligence.

Perceptual Modeling: Understanding Spatial Thinking and Vision

Examines perceptual modeling and spatial thinking in visual intelligence, exploring theories, cognitive maps, and the interplay between bottom-up and top-down processing.