Computer vision fields
Image Generation (synthesis) is the task of generating new images from an existing dataset.
Unconditional generation refers to generating samples unconditionally from the dataset, i.e..
Computer vision terms
In computer vision and image processing, a feature is a piece of information about the content of an image; typically about whether a certain region of the image has certain properties.
Features may be specific structures in the image such as points, edges or objects..
How are images represented in computer vision?
An image is represented by its dimensions (height and width) based on the number of pixels.
For example, if the dimensions of an image are 500 x 400 (width x height), the total number of pixels in the image is 200000.
This pixel is a point on the image that takes on a specific shade, opacity or color.Oct 11, 2023.
How does a computer see an image?
A computer sees an image as 0s and 1s.
Pixel is the smallest unit in an image.
When we take a digital image, it is stored as a combination of pixels.
Each pixel contains a different number of channels..
Types of computer vision models
A computer sees an image as 0s and 1s.
Pixel is the smallest unit in an image.
When we take a digital image, it is stored as a combination of pixels.
Each pixel contains a different number of channels..
What is an image feature in computer vision?
In computer vision and image processing, a feature is a piece of information about the content of an image; typically about whether a certain region of the image has certain properties.
Features may be specific structures in the image such as points, edges or objects..
What is image representation in computer vision?
Image representation in computer vision refers to the process of converting an image into a numerical or symbolic form that can be easily understood and processed by a computer.
Images are typically represented as a collection of pixels, where each pixel corresponds to a specific color or intensity value..
