نتایج جستجو برای: cartoon pyramid model

تعداد نتایج: 2110586  

1994
Enrico Nardelli Guido Proietti

In this paper we propose and analyze a new hierarchical direct access data structure, namely the up-down pyramid, for storing and processing efficiently large sets of 2-dimensional data. We use as performance measure the cost of storage accesses on a hierrchical memory model with different access cost functions of theoretical and practical significance. We analyze, for our structure, the time c...

2009
Pierre Maurel Jean-François Aujol Gabriel Peyré

This article 3 presents a new adaptive texture model. Locally parallel oscillating patterns are modeled with a weighted Hilbert space defined over local Fourier coefficients. The weights on the local Fourier atoms are optimized to match the local orientation and frequency of the texture. We propose an adaptive method to decompose an image into a cartoon layer and a locally parallel texture laye...

Journal: :Computer and Information Science 2009
Weihua Gai Dakun Zhang

This paper is to use the positive face to automatically generate a photo realist style, or has the effect of exaggerated cartoons. It includes two aspects: First, face the portrait photos automatically into production; Second, face deformed to generate cartoon effect. AAM model is a statistical model, can be well applied to the facial characteristics of location. In this paper, by improving the...

2012
Jiye Lee Hae Won Byun

In this paper, we propose a new automatically generation system of caricature which emphasizes the unique characteristics of the input images. This system can create the cartoon character similar to user’s features by using set rules adopted a particular artist's technique. Input image is transformed by using MLS(Moving Least Squares) approximation[1] based on a predefined cartoon character’s i...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 1999
Mary L. Comer Edward J. Delp

We present a new algorithm for segmentation of textured images using a multiresolution Bayesian approach. The new algorithm uses a multiresolution Gaussian autoregressive (MGAR) model for the pyramid representation of the observed image, and assumes a multiscale Markov random field model for the class label pyramid. The models used in this paper incorporate correlations between different levels...

Journal: :Applied mathematics and nonlinear sciences 2023

Abstract To understand the deep learning model, author proposed research of interactive texture replacement cartoon characters. For image segmentation, if you want to fill a without any in detail, or replace unsatisfied area, first, we need separate filled replaced area from cartoon. this reason, traditional segmentation algorithm has been carefully studied and analyzed, chooses Graphcut synthe...

Journal: :IPOL Journal 2011
Antoni Buades Triet M. Le Jean-Michel Morel Luminita A. Vese

The algorithm first proposed in [3] stems from a theory proposed by Yves Meyer in [1]. The cartoon+texture algorithm decomposes any image f into the sum of a cartoon part, u , where only the image contrasted shapes appear, and a textural v part with the oscillating patterns. Such a decomposition f=u+v is analogous to the classical signal processing low pass-high pass filter decomposition. Howev...

Journal: :Primary and Hospital Care: Allgemeine Innere Medizin 2018

Journal: :Primary and hospital care: médecine interne générale 2018

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