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- W2014388529 abstract "The frequency spectra are concise, but complete descriptors of image texture. The peaks in the spectrum, or equivalently, the dominant poles in an autoregressive model represent the granularity and orientation of the texture -- two of its most salient visual characteristics. In this paper, a Gaussian model is developed for the peaks of the frequency spectra, and simple warping functions are defined on these peaks, to formulate a diverse and powerful set of operators, e.g. shape from texture, planar texture rendering using perspective projection, frontalization, shift and scaling of texture. Our approach to shape from texture converts perspective distortion of texture into a range image by warping the spectrum, and our planar rendering technique warps the spectrum to simulate the perspective effect. Thus, our unified texture model gives rise to real-time algorithms for computer vision, graphics and multi-media, which are direct, and are based on local modeling rather than global optimization." @default.
- W2014388529 created "2016-06-24" @default.
- W2014388529 creator A5064801968 @default.
- W2014388529 date "1998-04-06" @default.
- W2014388529 modified "2023-09-27" @default.
- W2014388529 title "Spectrum warping: a new framework for working with texture" @default.
- W2014388529 doi "https://doi.org/10.1117/12.304602" @default.
- W2014388529 hasPublicationYear "1998" @default.
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