Lectures related to Correspondence problem

Geometric Stereo: Depth Recovery Techniques

Discusses geometric stereo principles and depth recovery techniques using stereo vision methods.

Explores geometric stereo, epipolar geometry, correlation methods, occlusions, and real-time implementation challenges in stereo vision systems.

Visual Intelligence: Machines and Minds

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

Shape From Stereo-2

Explores stereo vision concepts such as occlusions, window size impact, multi-view stereo, dynamic shape reconstruction, and graph-based segmentation.

Computer Vision: Image Formation and Transformation

Provides an overview of image formation and transformation principles in computer vision.

Machine Learning for Feature Extraction

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

Introduction to Digital Humanities

Covers information, memory, glyphs, writing systems, digital images, physical and morphological connections, 3D shapes, and the challenges of computational processing.