Animated image sequences often exhibit a large amount of inter-frame coherence which standard rendering algorithms and pipelines are ill-equipped to exploit, limiting their efficiency. To address this inefficiency we transfer rendering results across frames using a novel image warping algorithm based on fixed point iteration. We analyze the behavior of the iteration and describe two alternative...

Introduction and overview With a see-through augmented reality (AR) display the image in the display should be updated within a few milliseconds after a head movement of the observer, in order to maintain the virtual objects at a stable location in the visible world. In other words, the virtual camera has to mimic the head movements of the observer as close as possible. Allowed lags are in the ...

Imaging the change in physical parameters in the subsurface requires an estimate of the long wavelength component of the same parameters in order to reconstruct the kinematics of the waves propagating in the subsurface. The model is unknown and must be estimated from the same data. One can try to reconstruct the method by matching the recorded data with modeled waveforms extrapolated in a trial...

We present a new forward image warping algorithm, which speeds up perspective warping – as in texture mapping. It processes the source image in a special scanline order instead of the normal raster scanline order. This special scanline has the property of preserving parallelism when projecting to the target image. The algorithm reduces the complexity of perspective-correct image warping by elim...

We introduce a single unifying framework for a wide range of content-aware image warping tasks using a finite element method (FEM). Existing approaches commonly define error terms over vertex finite differences and can be expressed as a special case of our general FEM model. In this work, we exploit the full generality of FEMs, gaining important advantages over prior methods. These advantages i...

A kinematically correct choice of velocity focuses subsurface offset image gathers at zero offset. Infinitesimal warping from the current image towards its focus can be approximated by a horizontal contraction. The image residual can be then taken as the difference between the warped and the original image to account for the velocity error. Least squares fitting of the effect of a velocity pert...

We previously introduced three different fiducial marker-based correction methods (2D projection shifting, 2D projection warping, and 3D image warping) for patients’ involuntary motion in the lower body during weight-bearing Carm CT scanning. The 3D warping method performed better than 2D methods since it could more accurately take into account the lower body motion in 3D. However, as the 3D wa...

In the following sections we present an image registration method using spline based warping. Given two images, reference and test, we shall nd a warping, i.e. non-linear coordinate transformation, that brings the test image as close as possible to the reference image. We chose to use spline as the warping function which permits us to describe it by a nite number of localised parameters. Furthe...