Visual Intelligence: Introduction

Related lectures (31)

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Provides an overview of classical vision theories, exploring how perception is shaped by psychological and environmental factors.

Explores the history and techniques of computer vision, covering image formation, transformation, dynamic perspectives, and 3D estimation cues.

Covers the impact of transformers in computer vision, discussing their architecture, applications, and advancements in various tasks.

Covers the integration of visual perception and robotic actions in embodied AI.

Explores the historical development of computer vision and inspires innovative project ideas.

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

Covers depth perception, focusing on monocular and binocular cues, including motion parallax and stereoscopic vision.

Explores the evolution of vision theories and key concepts in visual intelligence.

Delves into human senses, perception, sensor stimulation, VR immersion, and vision mechanisms.

Explores the impact of culture on perception, focusing on Switzerland.