Invariant descriptors are features that remain consistent and reliable under various transformations, such as rotation, scaling, and translation, making them crucial for robust object recognition in computer vision. These descriptors ensure that objects can be identified and analyzed even when they appear differently in the scene, enhancing the performance of machine learning algorithms in diverse environments.