A low dimensional intensity-based feature descriptor for fast image matching

In this paper, we propose a novel image feature descriptor based on intensity information. In comparison with the widely-used SIFT algorithm, it can be implemented easily, computed efficiently, while at the same time demonstrating high performance under various conditions including the transformation of rotation, scale, viewpoint, illumination and JPEG compression. Additionally, this descriptor´s low dimensionality leads to lower memory usage.