Explain the following in the context of Computer Vision:
(i) Pixel
(ii) Occlusion
(iii) Face Detection
(iv) Image Restoration
(v) Optical character recognition
(vi) Unmanned Aerial Vehicle (UAV)
(i) Pixel
A pixel (short for picture element) is the smallest unit of a digital image. In Computer Vision, an image is represented as a grid of pixels, where each pixel holds a value corresponding to color intensity or brightness. In grayscale images, pixel values usually range from black to white, while in color images, pixels contain red, green, and blue (RGB) values. Computer Vision algorithms process images by analyzing pixel values to detect edges, shapes, textures, and objects. The resolution of an image depends on the number of pixels it contains — higher resolution means more detail, which improves recognition accuracy.
(ii) Occlusion
Occlusion occurs when an object in an image is partially hidden by another object. For example, a person standing behind a wall may only be partially visible. In Computer Vision,
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