Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

Professor Koray Aydin developed a metasurface spatial filter to improve image processing used in augmented and virtual reality systems, autonomous vehicles, and biometric identification systems. Along ...

The Fast Fourier Transform (FFT) is an implementation of the Discrete Fourier Transform (DFT) using a divide-and-conquer approach. A DFT can transform any discrete signal, such as an image, to and ...

Solving structures of large macromolecular assemblies to gain fundamental insights into biological mechanisms remains a major challenge in structural biology. Cryo-EM combined with image processing is ...

Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...