Geometric Stereo: Depth Recovery Techniques

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Machine Learning for Feature Extraction

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

Computer Vision: Historical Insights and Project Inspirations

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

Drone Imaging Analysis

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Immersive Imaging

Explores the evolution of 3D technology, discussing challenges and key concepts in delivering immersive experiences to users.

Computer Vision: Fundamentals and Applications

Covers the fundamentals of computer vision, illusions, challenges, applications, and history.

Image Processing I

Covers the basics of image processing and its applications in various fields.

Depth Perception: Cues and VR

Covers depth perception cues, stereoscopic vision, and the role of parallax in VR.

Depth Perception: Motion Parallax & Stereoscopic Vision

Explores depth perception through motion parallax and stereoscopic vision, emphasizing the importance of viewpoint tracking in virtual reality.

Vision-Language-Action Models: Training and Applications

Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.

Transformers in Vision: Applications and Architectures

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