Immersive Dramatic Space 3D Layout Using Panoramic Image Reconstruction Algorithm
Jiao Zhang, Shengzhi Wang, Lidan Zhang, Mengfei Liu · 2024
The relevance of 3D techniques in a wide range of applications, such as augmented Reality (AR), architecture, and other commercial fields, has made rapid 3D reconstruction of the environment an important research issue. In this research, speeded up robust features (SURF) a unique technology that can generate an estimated 3D model of the environment on a mobile smartphone in a matter of seconds. Large field-of-view images necessary for dependable and strong reconstruction are generated from a set of panoramic images captured by a very quick and adaptable algorithm. Dense, polygonal, textured representations are obtained by using a low-cost online space carving technique depend on Delaunay triangulation. Through the experimental result, this implemented method is compared with existing method of Panorama luminance attentive network (panoLANet) method. This implemented method's outcomes achieved better values of 30.50 of Peak signal-to-noise ratio (PSNR), 0.955 of structural similarity index measure (SSIM), 44.71 of Vendor Development Program (VDP), and 1.10 of Mean Squared Error (MSE).