The concept of invariants in object recognition is complex, as it transcends simple attributes like color or edge maps. Pavan explains that the invariant is often rooted in the intrinsic properties of objects, which can vary under different conditions. This complexity has led to a reliance on deep learning and statistical methods, as precise mathematical definitions remain elusive.
