TensorPCA Algorithm for Face Recognition with MATLAB Implementation

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MATLAB implementation of TensorPCA algorithm for face recognition using nearest neighbor classifier for classification tasks.

Detailed Documentation

This MATLAB program implements the TensorPCA algorithm for face recognition applications. The system utilizes a nearest neighbor classifier for performing face identification tasks. TensorPCA algorithm represents a tensor decomposition-based approach for facial feature extraction, which achieves dimensional reduction and reconstruction of facial images to significantly improve recognition accuracy and performance. In this implementation, the TensorPCA algorithm processes input facial images through feature extraction pipelines, while the nearest neighbor classifier handles the classification of target faces. The MATLAB code includes key functions for tensor unfolding, multilinear algebra operations, and distance metric calculations for classifier decision-making. This implementation enables accurate and efficient face recognition through optimized matrix operations and vector similarity measurements.

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