We propose a new image representation for texture categorization and facial analysis.

The proposed representation exploits higher order statistics of non-binarized local pixel patterns.

It avoids limitations of previous methods such as hard quantization, counting statistics and heuristic pruning of feature space.

We demonstrate effectiveness with extensive experiments on four benchmark datasets.