Local Kernel Feature Analysis (LKFA) for object recognition

This paper proposes a new Local Kernel Feature Analysis (LKFA)method for object recognition. LKFA captures thenonlinear local relationship in an image via kernel functions.Different fromtraditional kernelmethods for object recognition, the proposed method does not need to reserve the training samples. LKFA is designed to extract the eigenvalue features from the Hermite matrix of a local feature representation, which we have recognitions demonstrated the effectiveness of the proposed LKFA that significantly improved the performance of the local feature based object recognition method. & 2010 Elsevier B.V. All rights reserved.