小波空间的视图变形合成

该文提出一种新的基于2D离散小波变换和图像变形技术的视图合成方法.该方法完全依赖于已知的一对视图来合成期间的变换视图,无需相机标定或其他几何信息.其基本思想是：首先,采用立体视觉技术找出图像对间的基本矩阵,将两个图像变换到一个规范的模式定义下,即使得其图像平面平行,并且对应像素位于同一条扫描线上.然后,给出一种小波空间的图像变形方法,可以快速地生成期间的变换视图,而且还便于进一步对小波系数进行量化编码.绘制时,先作必要的解码,再通过小波逆变换将合成的小波系数恢复到图像空间.最后,经过一个后置变换,将期间视

View Synthesis via Wavelet-Based Morphing

This paper presents a new view synthesis technique using image morphing and 2-D discrete wavelet transform. The paper aims at pairwise images that are known without camera calibration and any other geometric information. Firstly, estimate the fundamental matrix related with any pair of images by techniques from stereovision. Using fundamental matrix, any pair of image planes can be rectified to be parallel and their corresponding points lie on the same scanline. Secondly, the paper describes an image morphing algorithm running in the wavelet domain. The proposed algorithm can synthesize new views more quickly. Any quantization techniques can be embedded here to compress the coefficients in depth. When displaying, compressed images are decoded and an inverse wavelet transform is achieved. Finally, a postwarping procedure is used to transform the interpolated views at desired position. Nice features of using wavelet transformation are its good locality in both space and frequency and its multiresolution representation mode, which makes the generated views be refined progressively and hence is suitable for communication. Also, the paper discusses the influences of different kinds of wavelet on the results.