In augmented reality, the visual consistency of virtual-real fusion is a difficult problem. For the problem of detecting and generating information about the shadows of virtual objects in complex scenes from a single viewpoint, a method is proposed to achieve the consistency of lighting on virtual objects based on a panoramic view, which makes up for the shortcomings of shadow information collection in complex real environments from a single viewpoint. First, the T-ORB algorithm is used for image stitching to generate the panorama. Then, the shaded information of the real environment is fully collected based on the panoramic view of the complex environment. Finally, the registration of virtual objects is completed according to the transformation matrix and rendered in combination with the shadow body. Experiments prove that the method proposed in this paper achieves shadow rendering of virtual objects, which greatly improves visual consistency and has obvious advantages in rendering time.
Virtual-real occlusion is a key step in augmented reality systems. The traditional virtual-real occlusion method has some problems, such as low accuracy and poor adaptation to the scene. On this basis, this paper proposes a virtual real occlusion method based on monocular camera. Firstly, AKAZE algorithm was combined with Tanimoto similarity estimation to find the optimal pair of feature points, and the relative depth of feature points on adjacent frames was calculated by using the triangulation method in SFM algorithm. Then, the real depth value was obtained by combining the translation scale. Finally, the depth value of virtual and real objects was compared to realize the virtual and real occlusion of monocular camera. The experimental results show that the virtual-real occlusion based on monocular camera is realized and the occlusion accuracy is high.
In order to improve the running time of image stitching and remove the phenomenon of ghosting, this paper proposes an image stitching method based on the improved optimal seam line.First, the two input images are preprocessed using a median filter algorithm.Next, image registration is performed using the ORB algorithm. Finally, the best seam method based on the Canny operator is used.The experimental results show that when stitching images, whether for large scale or small scale images, the algorithm in this paper has faster running speed and better stitching effect.
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