Invariant-based dimensional reduction of object recognition features, systems and methods

A sensor data processing system comprising:

• a memory;
• and
• one or more image processing computers in communication with the memory, the one or more image processing computers configured to:
• obtain a first training data set representative of at least one object related to at least one person under a defined environmental state within a controlled environment, wherein the controlled environment comprises environmental parameters that correspond to environmental attributes;
• generate a trait vocabulary as a function of descriptors derived from at least the first training data set;
• derive a first recognition trait comprising a first plurality of elements from the first training data set according to a trait extraction algorithm, wherein the first recognition trait is derived using the trait vocabulary;
• obtain a second training data set representative of the at least one object related to at least one person under a second environmental state within the controlled environment, wherein the second environmental state is created by adjusting at least one environmental parameter corresponding to an environmental attribute;
• derive a second recognition trait comprising a second plurality of elements from the second training data set according to the trait extraction algorithm;
• and
• identify a mapping that maps a plurality of elements of the first recognition trait and the second recognition trait in 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 traits across the first training data set and the second training data set.