kuvausvektorit
Kuvausvektorit, known in English as description vectors or feature vectors, are fundamental concepts in computer vision and machine learning. They represent a method of abstracting and quantifying visual information from images or other data sources into a numerical format that algorithms can process. Essentially, a kuvausvektori is a list of numbers that captures the salient characteristics of an object, scene, or pattern.
The process of creating kuvausvektorit typically involves feature extraction. This means identifying and measuring specific visual
The utility of kuvausvektorit lies in their ability to enable comparison and analysis. By representing different