Wavelet Warping
نویسندگان
چکیده
We present wavelet warping — a new class of forward 3D warping algorithms for image-based rendering. In wavelet warping most of the warping operation is performed in the wavelet domain, by operating on the coefficients of the wavelet transforms of the images and other matrices defined by the mapping. Operating in this fashion is often more efficient than performing the 3D warp in the standard manner. Perhaps more importantly, operating in the wavelet domain allows one to perform the 3D warping operation progressively and to generate target views at multiple resolutions. We describe wavelet warping of planar, cylindrical, and spherical reference images and demonstrate that the resulting algorithms compare favorably to their standard counterparts. We also discuss and demonstrate utilization of temporal coherence when wavelet-warping image sequences.
منابع مشابه
Speech Recognisation System Using Wavelet Transform
To develop speech recognition system with low word error rate using wavelet transform through pattern recognition approach. The aim of this paper is to make intelligent system that can recognize the speech signal. This includes also how the feature extracted from the speech signal using Discrete Wavelet Transform and then Dynamic Time Warping is used for pattern matching from the stored databas...
متن کاملHaar Wavelets for Online-Game Player Classification with Dynamic Time Warping
Online game players’ action sequences, while important to understand their behavior, usually contain noise and/or redundancy, making them unnecessarily long. To acquire briefer sequences representative of players’ features, we apply the Haar wavelet transform to action sequences and reconstruct them from selected wavelet coefficients. Results indicate that this approach is effective in classifi...
متن کاملWavelet Transform Speech Recognition Using Vector Quantization, Dynamic Time Warping and Artificial Neural Networks
In this paper we investigate the performance of the Discrete Wavelet Transform (DWT) with Dynamic Time Warping, Vector Quantization and Artificial Neural Networks for speaker-dependent, isolated word recognition. Wavelet Transforms have demonstrated good time-frequency localization properties and are appropriate tools for the analysis of non-stationary signals like speech. Moreover, unlike LPC,...
متن کاملConstruction of Warped Time-frequency Representations on Nonuniform Frequency Scales, Part Ii: Integral Transforms, Function Spaces, Atomic Decompositions and Banach Frames
We present a novel family of continuous linear time-frequency transforms adapted to a multitude of (nonlinear) frequency scales. Similar to classical time-frequency or time-scale representations, the representation coefficients are obtained as inner products with the elements of a continuously indexed family of time-frequency atoms. These atoms are obtained from a single prototype function, by ...
متن کاملBlocking Artefact Free Video Coding Based on a Bilinear Forward Image Warping Model
In this paper a new very low bit rate video coding scheme is presented. It is based on a forward motion estimation technique using an image warping model, thus delivering the basis for temporal tracking of regions or objects. In order to deal with new or disappearing image contents a new algorithm for the adaptation of a tracked control grid is proposed. To improve the coding eflciency a high q...
متن کامل