This document discusses adding global context descriptors to the SURF and MSER local feature descriptors to improve matching between images. For SURF features, nearby feature points are found and curvature values from a log-polar grid are appended to the original descriptor. For MSER features, shape, texture and curvature patches around the region are measured and appended. Preliminary matching results show the potential of global context descriptors to improve matching performance over the local descriptors alone. Future work includes exploring optimal neighboring region shapes and sizes.