2Ddeskriptorit
2Ddeskriptorit, often translated as "2D descriptors," refers to a category of methods used in computer vision and image processing to represent the salient features of a two-dimensional image or object. These descriptors are crucial for tasks such as image retrieval, object recognition, image matching, and content-based image analysis. The primary goal of a 2D descriptor is to extract meaningful information from an image region that is robust to variations like changes in illumination, scale, rotation, and minor deformations.
There are numerous types of 2D descriptors, broadly categorized into region-based and point-based descriptors. Region-based descriptors,
The effectiveness of a 2D descriptor depends heavily on its discriminative power and invariance properties. A