Spatially Smooth Subspace Face Recognition Using LOG and DOG Penalties
Spatially Smooth Subspace Face Recognition Using LOG and DOG Penalties is a scholarly work, published in 2009 in ''Lecture Notes in Computer Science''. The main subjects of the publication include smoothing, face, pixel, image, pattern recognition, biometrics, Gaussian, blob detection, smooth function, subspace topology, computer science, artificial intelligence, Random subspace method, extreme learning machine, compressed sensing, facial recognition system, and computer vision. The authors first survey the progress and problems in current spatially smooth subspace face recognition methods.