Image-based rendering replaces the difficult physical simulation problem of conventional computer graphics with a difficult reconstruction problem. In this paper, we introduce efficient methods for eliminating common reconstruction artifacts in 3D image warping. These methods are suitable for hardware implementation. We study the reconstruction problem in the context of the 3D warp’s applicatio...

Sectioning tissues for optical microscopy often introduces upon the resulting sections distortions that make 3D reconstruction difficult. Here we present an automatic method for producing a smooth 3D volume from distorted 2D sections in the absence of any undistorted references. The method is based on pairwise elastic image warps between successive tissue sections, which can be computed by 2D i...

Providing wide angle views is often advantageous to provide context, such as in video conferencing, or when viewing panoramic imagery. Unfortunately, wide angle images often appear distorted. The limited image size on monitors or paper together with standard viewing distances, results in the angle subtended by the image when viewed usually being much smaller than the field of view of the camera...

In this work we demonstrate the relationship existing between two important issues in vision: multi-scale local spectrum analysis, and log-polar foveatization. We show that, when applying a continuous set of self-similar (rotated and scaled) band-pass lters to estimate the local spectrum at a given point of attention of the image, the inverse Fourier transform of this local spectrum is a log-po...

A new approach, based on the hierarchical soft correspondence detection, has been presented for significantly improving the speed of our previous HAMMER image registration algorithm. Currently, HAMMER takes a relative long time, e.g., up to 80 minutes, to register two regular sized images using Linux machine (with 2.40GHz CPU and 2-Gbyte memory). This is because the results of correspondence de...

We introduce in this paper a new method for smooth foldover-free warping of images. It allows users to specify the constraints in two different ways: positional constraints to constrain the position of points in the image and gradient constraints to constrain the orientation and scaling of some parts of the image. We then show how our method is used for texture mapping with hard constraints. We...

Atlas-based image labeling is a fundamental tool in medical image segmentation. Recent years have seen extension of single-atlas warping to multi-atlas warping and fusion, which has clearly demonstrated the advantage of consensus-based segmentation. Herein, we further extend this concept, by leveraging upon morphological appearance manifolds (MAMs), which have been previously used to represent ...

This paper presents warped discrete cosine transform (WDCT)-based low bit-rate block coding using image downsampling.While WDCT aims to improve the performance of conventional DCT by frequency warping, the WDCT has only been applicable to high bit-rate coding applications because of the overhead required to define the parameters of the warping filter. Recently, low bit-rate block coding based o...

A method for sharpening of 3D volume images has been developed. The idea of the proposed algorithm is to transform the 3D neighborhood of the edge so that the neighboring pixels move closer to the edge, and then resample the image from the warped grid to the original pixel grid. The proposed technique preserves image textures while making the edges sharper. The effectiveness of the proposed met...

In traditional stereoscopic displays, the virtual three-dimensional object does not appear to be fixed in space as the viewer's head moves. This apparent motion results from the fact that a correct stereo image can only be formed for a particular viewpoint and interpupillary distance. At other viewpoints, our brain interprets the stereo image as a slightly skewed and rotated version of the orig...