1. A method for recognizing objects, performed in an information processing apparatus which can perform digital signal processing, the method comprising: extracting a feature point of an object to be recognized in an input image; generating a plurality of feature images by extracting orientation information of a region adjacent to the feature point and normalizing the region based on the orientation information; deriving a covariance descriptor based on the plurality of feature images; and recognizing the object in the input image by comparing the covariance descriptor with at least one reference covariance descriptor stored in advance, wherein extracting the feature point of the object to be recognized includes: downscaling the input image into multiple downscaled images; and extracting the feature point in corners of the object in the multiple downscaled images, and wherein generating the plurality of feature images includes: generating a feature point region by deriving orientation information of the region adjacent to the feature point; generating a patch image by sampling values of pixels located within the feature point region and normalizing the feature point region; and generating the plurality of feature images based on the patch image.