In this paper, our objective is to facilitate the creation of novel human poses by synthesizing images. Existing approaches commonly deform one single image, which often results in a distorted image due to texture and illumination artefacts. We present a novel image-based pose synthesis technique that accurately reconstructs texture details by combining information from multiple photographs. Gi...

This paper’ provides an overview o f the act iv i t ies that have led to the development o f a prototype appl icat ion o f a “talking head” compliant with MPEG-4 spectfication. The work done so far Jits in the context of one of the recent work-i tems def ined by the ISOBEC JTCI/SC29/WGll world-wide known as MPEG. This IS0 Working Group is now in the process o f de f in ing a uni fy ing framewor...

In this paper, we present the results of a study designed to investigate the visual factors which contribute to the perceived quality of synthesized textures. A psychophysical experiment was performed in which subjects rated the quality of textures synthesized from a variety of modern texture-synthesis algorithms. The ratings were given in terms of how well each synthesized texture represented ...

Transmission of large terrain databases across the Internet is still worrying. A large terrain database requires a big number of polygons and textures, and that represents a problem with current bandwidth and resource limitations. Multiresolution models permit progressive transmission, that is the transmission of a simple model followed by successive refinements. In this work we present a new m...

This paper studies a new method for three-dimensional (3D) facial model adaptation and its integration into a text-to-speech (TTS) system. The 3D facial adaptation requires a set of two orthogonal views of the user’s face with a number of feature points located on both views. Based on the correspondences of the feature points’ positions, a generic face model is deformed nonrigidly treating ever...

Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field visualization. In this paper the two techniques are compared. Continuous directional convolution is used as a common basis for comparing the techniques. It is shown that the techniques are based on the same mathematical concept. Comparisons of the visual appearance of the output and performance ...

We present a novel, simple and general method for image inpainting. Current methods may be crudely divided into those that aim to continue edges by various energy minimisation techniques, and those that perform texture synthesis from local information, but both have their weaknesses. Our method searches the image for areas of similarity and uses these to inpaint. By analysing the image at multi...

In this report, we compare the performance of four texture synthesis algorithms on synthesizing regular and near-regular textures. Our results show that near-regular texture synthesis remains a challenging problem. This is because a near-regular texture demonstrates both global regularity and local randomness in its texture pattern. It is difficult to preserve both properties in the synthetic t...

In this paper we present an elegant pixel-based texture synthesis technique which is able to generate visually pleasing results from source textures of both stochastic and structured nature. Inspired by the observation that the most common artefacts which occur when synthesizing textures are high frequency discontinuities, our technique tries to avoid these artefacts by forcing at least one of ...

Texture synthesis techniques require nearly uniform texture samples, however identifying suitable texture samples in an image requires significant data preprocessing. To eliminate this work, we introduce a fully automatic pipeline to detect dominant texture samples based on a manifold generated using the diffusion distance. We define the characteristics of dominant texture and three different t...