Computer Vision Basics: Image Processing and Feature Detection

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Drone Imaging Analysis

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

Geometric Stereo: Depth Recovery Techniques

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

Image Processing Basics

Introduces image processing basics in Python, covering manipulation, grayscale conversion, edge detection, and convolution with kernels.

Visual Intelligence: Machines and Minds

Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

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.

Detecting Objects: Independent Channels

Emphasizes the need for independent channels when detecting objects in images.

Proper Feature Size: Image Analysis

Delves into choosing a proper feature size for image analysis in life sciences, presenting a Rule Of Thumb for defining object size in pixels.

Greyscale, Color and Special Images

Explores Greyscale, color, and special image types, bit depths, RGB creation, and file formats.