Object recognition based on reconstruction of light field

With the rapid development of modern information technology, target recognition plays an increasingly important role in agricultural production, national defense construction. However, the existing target recognition algorithm has many limitations, such as image distortion, difficult to recognize target image or poor recognition results because of camera angles and lighting conditions. Based on the above questions, the paper proposes an image recognition algorithm, and the light field is applied to the image recognition as the feature extraction library for first time. First, we obtain light field information which contains images taken from different angles of the target object, and then regard the light field information as an object library. Finally we perform the algorithm of target recognition for the target image based on the object library. Based on sparse Fourier transform, the light field reconstruction algorithm in this paper can reconstruct the entire light field with a small amount of samples. This recognition algorithm can solve the problem to recognize image due to the different camera angles. Finally, the simulation verifies the effectiveness of the algorithm.