Abstract
This paper proposes a novel locality preserving projections (LPP) algorithm for image recognition, namely, the direct locality preserving projections (DLPP), which directly optimizes locality preserving criterion on high-dimensional raw images data via simultaneous diagonalization, without any dimensionality reduction preprocessing. Our algorithm is a direct and complete implementation of LPP. Experimental results on the PolyU palmprint database and ORL face database show the effectiveness of the proposed algorithm.
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Feng, G., Hu, D. & Zhou, Z. A Direct Locality Preserving Projections (DLPP) Algorithm for Image Recognition. Neural Process Lett 27, 247–255 (2008). https://doi.org/10.1007/s11063-008-9073-1
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DOI: https://doi.org/10.1007/s11063-008-9073-1