1. A sensor data processing system comprising: a controlled sensing environment having environmental parameters having corresponding environmental attributes; and an image processing engine programmed to: obtain a first training data set representative of at least one object under a defined environmental state within the controlled environment; derive a first recognition trait from the first training data set according to a trait extraction algorithm, the first recognition trait comprising a first plurality of elements; configure the controlled imaging environment to create a second environmental state by varying an environmental attribute through adjusting a corresponding environment parameter; obtain a second training data set representative of the at least one object under the second environmental state within the controlled environment with respect to the adjusted environmental attribute; derive a second recognition trait from the second training data set according to the trait extraction algorithm, the new recognition trait comprising a second plurality of elements, and wherein the new trait has a correspondence to the first trait; identify a mapping that maps the plurality of elements of first and second recognition traits to a new representation space, wherein the mapping of the plurality of elements in the new representation space satisfies trait element variance criteria among corresponding elements in the traits across the first and second training set; and store the mapping in a memory.