Warping, also known as Control Grid Interpolation, estimates intensities in the present frame through an interpolation of motion vectors { typically with bilinear interpolation. This paper presents a method for computing optimal interpolation parameters for warping prediction. Conventional bilinear warping, while mostly eeective, has been known to exhibit unreliable performance in certain situa...

We show a proof of principle for warping, a method to interpret the inner working of neural networks in the context of gene expression analysis. Warping is an efficient way to gain insight to the inner workings of neural nets and make them more interpretable. We demonstrate the ability of warping to recover meaningful information for a given class on a samplespecific individual basis. We found ...

Spectral warping is a technique that transforms a digital signal in the time domain by a warping of the frequency axis in its frequency representation. This corresponds to a mapping of the samples in the z-domain such that they are unevenly spaced around the unit circle. Spectral warping can be implemented with a network of linear all-pass filters. The Spectral Warping has a property that a tim...

In this work we extend the test utterance adaptation technique used in vocal tract length normalization to a larger number of speaker characteristic features. We perform partially joint estimation of four features: the VTLN warping factor, the corner position of the piece-wise linear warping function, spectral tilt in voiced segments, and model variance scaling. In experiments on the Swedish PF...

NMR imaging allows to obtain 3D-images by non-invasive treatment of biological structures. In this study intensity-based warping is evaluated by comparing it to landmark-based warping for a four-dimensional analysis of morphological changes in seed development of barley. The datasets of barley grains are obtained at certain development stages by NMR. Warping algorithms reconstruct intermediate ...

This paper describes a software tool developed in the Java language to facilitate time and frequency warping of audio spectra. The application utilises the Java Advanced Image Processing (AIP) API which contains classes for image manipulation and, in particular, for non-linear warping using polynomial transformations. Warping of spectral representations is fundamental to sound processing techni...

We introduce a new image geometric transformation, named tearable image warping, for content-aware image retargeting and recomposition. In tearable image warping, an object is allowed to partially detached from the background during warping, which allows the background to warp more freely without distorting the object. The part of the object that is still attached to the background ensures that...

There are two common methodologies to verify signatures: the functional approach and the parametric approach. In this paper, we propose a new warping technique for the functional approach in signature verification. The commonly used warping technique is dynamic time warping (DTW). It was originally used in speech recognition and has been applied in the field of signature verification with some ...

Comparison of brain imaging data requires the exact matching of data sets from different individuals. Warping methods, used to optimize matching of data sets, can exploit either local gray value distribution or identifiable reference points within the images to be compared. Gray value-based warping, which is more comfortable, cannot be used if gray values include functional information that sho...