We present a new technique for progres- sive C[?]-continuous approximation and compression of polygonal objects in images. Our technique uses local parametrizations defined by meshes of convex polygons in the plane. We generalize a lifted biorthogonal wavelet transform to polygonal domains to perform multiresolution analysis and compression of image regions. The advantage of our technique over conventional wavelet methods is that the domain is an arbitrary tesselation rather than a rectilinear grid. We expect that this technique has many applications image compression, progressive transmission, radiosity, virtual reality, and image morphing
Abstract — This paper proposes a new lossy to lossless pro-gressive compression scheme for triangula...
This paper applies the idea of normal mesh techniques, utilized in CG rendering applications of smoo...
In this thesis we present a wavelet-based geometry compression pipeline in the context of hierarchic...
We present a new technique for progressive C0-continuous approximation and compression of polygonal ...
We present a new technique for progressive approximation and compression of polygonal objects in ima...
Wavelet transforms are not capable of reconstructing curved images perfectly, hence we go for this n...
Abstract: We present a new wavelet compression and mul-tiresolution modeling approach for sets of co...
Multiresolution analysis and wavelets provide useful and efficient tools for representing functions ...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
The limitations of commonly used separable extensions of one-dimensional transforms, such as the Fou...
We present a new construction of lifted biorthogonal wavelets on surfaces of arbitrary two-manifold...
We present an efficient multi-scale scheme to adaptively approximate the continuous (or densely samp...
International audienceThis paper proposes a new lossy to lossless progressive compression scheme for...
Abstract — This paper proposes a new lossy to lossless pro-gressive compression scheme for triangula...
This paper applies the idea of normal mesh techniques, utilized in CG rendering applications of smoo...
In this thesis we present a wavelet-based geometry compression pipeline in the context of hierarchic...
We present a new technique for progressive C0-continuous approximation and compression of polygonal ...
We present a new technique for progressive approximation and compression of polygonal objects in ima...
Wavelet transforms are not capable of reconstructing curved images perfectly, hence we go for this n...
Abstract: We present a new wavelet compression and mul-tiresolution modeling approach for sets of co...
Multiresolution analysis and wavelets provide useful and efficient tools for representing functions ...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
The limitations of commonly used separable extensions of one-dimensional transforms, such as the Fou...
We present a new construction of lifted biorthogonal wavelets on surfaces of arbitrary two-manifold...
We present an efficient multi-scale scheme to adaptively approximate the continuous (or densely samp...
International audienceThis paper proposes a new lossy to lossless progressive compression scheme for...
Abstract — This paper proposes a new lossy to lossless pro-gressive compression scheme for triangula...
This paper applies the idea of normal mesh techniques, utilized in CG rendering applications of smoo...
In this thesis we present a wavelet-based geometry compression pipeline in the context of hierarchic...