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In this paper, we propose an illumination-robust face recognition using tensor-based active appearance model (AAM). First, we introduce the tensor-based AAM which generates variation specific AAM basis vectors for improving the fitting performance of AAM. Then, we propose a novel illumination transformation method which adopts ratio image concept into tensor model framework. Experimental results show that the proposed tensor-based AAM improves the performance of face recognition significantly.