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Problem Addressed

Object recognition typically involves the computation of a set of target features at one step and their combination in successive steps. Features usually fall in one of two categories: template-based or histogram-based. While these methods have success, they struggle with object transformation and generic object recognition, respectively. Inspired by the hierarchical nature of the primate visual cortex, the Inventors introduce a new set of biologically-inspired features that exhibit a better trade-off between invariance and selectivity than existing methods for most holistic, robust object recognition.