![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
According to the Nyquist sampling theorem, a large number of sampled images and small intervals between capturing cameras should be met for rendering high quality virtual views without aliasing, which is hard to realize in practice. Therefore, achieving a balance between multi-view data capturing and quality of the rendered view remains as open problems. To solve this problem, we analysed the spectral bounds of the scene and designed a reconstruction filter. A proper number for rendering and a three-dimensional surface describing the relation between multi-view data capturing and quality of the rendered view were derived. Experimental results for both the modelled scene and the real scene show that only about 20% of sample images are needed compared with Nyquist sampling, while the quality of the rendered view remains higher than that of a Nyquist sampled comparison.