3D geometry is one of the most extensively used data in military, engineering, and multimedia communication. In a distributed environment, efficient visual data exchange is desirable for real-time collaboration. Geometry compression is an effective way to distribute high-volume geometry data within limited bandwidth and storage capacity. In this paper, a new time-varying 3D geometry compression method based on 4D lifting wavelet transform is presented. In this hybrid approach, geometric information and animation are compressed based volume grid values. Surfaces are reconstructed from decompressed grid values. With rescaling and integer-to-integer lifting, compression ratio is significantly increased without compromising quality of surfaces
Complex surfaces and solids are produced by large-scale modeling and simulation activities in a vari...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
International audienceIn this paper, we propose an efficient low complexity compression scheme for d...
Geometry compression is an effective way to distribute high-volume geometry data within limited band...
In distributed environments, efficient visual information sharing is critical for effective communic...
In distributed environments, efficient visual information sharing is critical for effective communic...
We present a wavelet-based geometry compression pipeline in the context of hierarchical surface and ...
International audienceIn this paper, we propose a 3D geometry compression technique for densely samp...
In this thesis we present a wavelet-based geometry compression pipeline in the context of hierarchic...
We introduce in this paper a new compression process to en-code the geometry of 3D mesh sequences (w...
We present a generic framework for compression of densely sampled three-dimensional (3D) surfaces i...
In order to efficiently archive and transmit large 3D models, lossy and lossless compression methods...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
This paper describes the construction of second generation bandelet bases and their application to ...
Complex surfaces and solids are produced by large-scale modeling and simulation activities in a vari...
Complex surfaces and solids are produced by large-scale modeling and simulation activities in a vari...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
International audienceIn this paper, we propose an efficient low complexity compression scheme for d...
Geometry compression is an effective way to distribute high-volume geometry data within limited band...
In distributed environments, efficient visual information sharing is critical for effective communic...
In distributed environments, efficient visual information sharing is critical for effective communic...
We present a wavelet-based geometry compression pipeline in the context of hierarchical surface and ...
International audienceIn this paper, we propose a 3D geometry compression technique for densely samp...
In this thesis we present a wavelet-based geometry compression pipeline in the context of hierarchic...
We introduce in this paper a new compression process to en-code the geometry of 3D mesh sequences (w...
We present a generic framework for compression of densely sampled three-dimensional (3D) surfaces i...
In order to efficiently archive and transmit large 3D models, lossy and lossless compression methods...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
This paper describes the construction of second generation bandelet bases and their application to ...
Complex surfaces and solids are produced by large-scale modeling and simulation activities in a vari...
Complex surfaces and solids are produced by large-scale modeling and simulation activities in a vari...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbi...
International audienceIn this paper, we propose an efficient low complexity compression scheme for d...