Affine Invariance

Affine invariance refers to a property of certain features or methods that remain consistent even when an image undergoes transformations like translation, scaling, rotation, or skewing—collectively known as affine transformations. Essentially, if you change the size, orientation, or shape of an object in an image, an affine-invariant feature will still recognize or describe that object reliably. This robustness is crucial for tasks like object recognition and image matching, as it ensures that features are comparable regardless of how the object is viewed or presented, facilitating more flexible and accurate analysis.