Week 1 Intro Flashcards
What does computer vision aim to achieve?
Computer vision focuses on enabling machines to understand and interpret the visual world.
What tasks are included in computer vision?
Tasks include object detection, image classification, and scene reconstruction.
Where are computer vision applications commonly used?
Applications span robotics, healthcare, autonomous vehicles, and augmented reality.
What challenges do vision systems face?
Vision systems face challenges like variable lighting, occlusions, and intra-class variation.
How does vision process data?
Vision involves capturing and processing image data, often in pixel form.
What are the two types of image representations in vision?
Images can be grayscale or colour, with colour represented by RGB channels.
How does a grayscale image represent pixel data?
Grayscale images use a single intensity value per pixel.
How do colour images represent pixel data?
Colour images have three values per pixel: red, green, blue.
What is image resolution?
Image resolution refers to the number of pixels in an image, impacting clarity.
What role does machine learning play in vision systems?
Machine learning plays a key role in modern computer vision systems.
