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Geometric Stereo: Depth Recovery Techniques
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Explores geometric stereo, epipolar geometry, correlation methods, occlusions, and real-time implementation challenges in stereo vision systems.
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Explores the history and techniques of computer vision, covering image formation, transformation, dynamic perspectives, and 3D estimation cues.
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Provides an overview of image formation and transformation principles in computer vision.
Shape From Stereo-2
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Explores stereo vision concepts such as occlusions, window size impact, multi-view stereo, dynamic shape reconstruction, and graph-based segmentation.
Visual Intelligence: Machines and Minds
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Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.
Shape from Shading: Recovering 3D Information from 2D Images
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Covers the techniques for recovering 3D shape information from 2D images using shading models and modern deep learning approaches.
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Covers the basics of computer vision, focusing on image processing techniques and feature detection.
Depth Perception: Monocular and Binocular Cues
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Covers depth perception, focusing on monocular and binocular cues, including motion parallax and stereoscopic vision.
Perceptual Robotics: Integrating Vision and Action
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Covers the fundamentals of computer vision, illusions, challenges, applications, and history.
Image Processing I
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Covers the basics of image processing and its applications in various fields.
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Covers depth perception cues, stereoscopic vision, and the role of parallax in VR.
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