Incremental kernel SVD for face recognition with image sets

  title={Incremental kernel SVD for face recognition with image sets},
  author={Tat-Jun Chin and Konrad Schindler and David Suter},
  journal={7th International Conference on Automatic Face and Gesture Recognition (FGR06)},
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such kernel methods include kernel PCA, kernel DA, kernel SVD and kernel QR. Since incremental computation algorithms for these methods do not exist yet, the practicality of these methods on large datasets or online video processing is minimal. We propose an approximate incremental kernel SVD algorithm for computer vision… CONTINUE READING