Nonuniform depth distribution selection with discrete Fourier transform
暂无分享,去创建一个
In recent years there is a growing interest in the generation of virtual views from a limited set of input cameras. This is especially useful for applications such as Free Viewpoint Navigation and light field displays [Tanimoto 2015]. The latter often requires tens to hundreds of input views, while it is often not feasible to record with as many cameras. View interpolation algorithms often traverse a set of depths to find correspondences between the input images [Stankiewicz et al. 2013; Goorts et al. 2013]. Most algorithms choose a uniform set of depths to traverse (as shown in Figure 2(a)), but this often leads to an excessive amount of unnecessary calculations in regions where no objects are located. It also results in an increased amount of mismatches, and thus, inaccuracies in the generated views. These problems also occur when a too large depth range is selected. Hence, typically a depth range that encloses the scene tightly is manually selected to mitigate these errors. A depth distribution that organizes the depth layers around the objects in the scene, as shown in Figure 2(b), would reduce these errors and decrease the number of computations by reducing the number of depths to search through. [Goorts et al. 2013] determine a nonuniform global depth distribution by reusing the generated depth information from the previous time stamp. This makes the algorithm dependent on previous results.
[1] Philippe Bekaert,et al. Optimization of free viewpoint interpolation by applying adaptive depth plane distributions in plane sweeping a histogram-based approach to a non-uniform plane distribution , 2013, 2013 International Conference on Signal Processing and Multimedia Applications (SIGMAP).
[2] Masayuki Tanimoto,et al. FTV standardization for super-multiview and free navigation in MPEG , 2015, Commercial + Scientific Sensing and Imaging.
[3] Yael Pritch,et al. Scene reconstruction from high spatio-angular resolution light fields , 2013, ACM Trans. Graph..