Real Time Augmented Reality Tracking Registration Based on Motion Blur Template Matching Image Construction Model

Aiming at the problem of real-time augmented reality tracking registration of motion blurred template matching image construction model, this paper proposes a template matching target tracking algorithm based on improved efficient second-order minimization (ESM). Based on ESM algorithm, an improved efficient second-order minimization algorithm is used to track the motion template. Firstly, the image acquisition and noise reduction preprocessing are carried out, and the image acquisition model of high-speed moving target and the edge feature detection algorithm of moving feature points are designed. The gray-scale histogram denoising method is used to suppress the edge fuzzy set of dynamic feature points in the image of high-speed moving target. The feature extraction and matching are modeled, and the selection of feature points and the search algorithm are optimized. Then the block detection method is used to reconstruct the region of high-speed moving target, and the edge contour detection and feature point matching of the moving target are carried out in the affine invariant region. The image block template matching method is used to realize the real-time augmented reality tracking registration of high-speed moving target. The simulation results show that the proposed method has good effect and superior performance in real-time augmented reality tracking registration of moving targets.