Nonuniform sampling of image-based rendering data with the position-interval-error (PIE) function
نویسندگان
چکیده
In this paper we study the non-uniform sampling problem for image-based rendering (IBR). We first propose a general position-interval error (PIE) function that can help solve practical sampling problems. We then propose two approaches to capturing IBR data non-uniformly based on PIE, namely progressive capturing (PCAP) and rearranged capturing (RCAP). PCAP is applicable for static scenes. Based on the images captured so far, PCAP determines where to take the next image. RCAP, on the other hand, is for capturing both static and dynamic scenes. The goal is to intelligently arrange the positions of a limited number of cameras such that the final rendering quality is optimal. Experimental results demonstrate that the non-uniform sampling approaches outperform the traditional uniform methods.
منابع مشابه
Segmentation Assisted Object Distinction for Direct Volume Rendering
Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...
متن کاملMultisensor Signal Processing: Theory and Algorithms for Image-based Rendering and Multichannel Sampling by Ha Thai Nguyen
Multisensor applications have recently inspired important research projects to utilize existing infrastructure and exploit spatiotemporal information. This dissertation focuses on two multisensor applications: image-based rendering and multichannel sampling. Although many image-based rendering (IBR) algorithms have been proposed, few of them possess rigorous interpolation processes. We propose ...
متن کاملA system for active image-based rendering
In this paper, we develop a system for active image-based rendering (IBR). Active IBR is a framework that is capable of estimating the final rendering quality and capturing the next view at the position where the rendering quality can be improved the most. The result is a nonuniform capturing scheme for IBR. Experimental results on synthetic scenes have shown that active IBR outperforms uniform...
متن کاملNonuniform image representation in area-of-interest systems
This paper is concerned with image representation by data distributed nonuniformly and in particular with a representation scheme suitable for "area-of-interest" imaging. The class of signals under consideration, whose information density varies with position, can be represented according to a nonuniform sampling scheme. Position-varying projection operators are presented as simple low-pass fil...
متن کاملUniversal truncation error upper bounds in irregular sampling restoration
The classical WKS sampling theorem has been extended to the case of nonuniform sampling by numerous authors. For detailed information on the theory and its numerous applications, we refer to the book [15]. Most known irregular sampling results deal with Paley–Wiener functions which have L2(R) restrictions on the real line. It seems that the best known nonuniform WKS sampling results for entire ...
متن کامل