Recent research emphasizes more on analyzing multiple features to improve face recognition (FR) performance. One popular scheme is to extend the sparse representation based classification framework with various sparse constraints. Although these methods jointly study multiple features through the constraints, they just process each feature individually such that they overlook the possible high-...

This paper demonstrates that a reliable and efficient object recognition system based only on binary joint occurrences of quantized descriptors can be built. Specifically, we show that a high recognition performance can be obtained even with very weak (non discriminative) descriptors. The binary joint occurrence representation despite being high dimensional is very sparse and therefore efficien...