Compression of point-based 3D models by shape-adaptive wavelet coding of multi-height fields

Abstract

In order to ef ciently archive and transmit large 3D models, lossy and lossless compression methods are needed. We propose a compression scheme for coordinate data of point-based 3D models of surfaces. A point-based model is processed for compression in a pipeline of three subsequent operations, partitioning, parameterization, and coding. First the point set is artitioned yielding a suitable number of point clusters. Each cluster corresponds to a surface patch, that can be parameterized as a height eld and resampled on a regular grid. The domains of the height elds have irregular shapes that are encoded losslessly. The height elds themselves are encoded using a shape-adaptive wavelet coder, producing a progressive bitstream for each patch. A rate-distortion optimization provides for an optimal bit allocation for the individual patch codes. With this algorithm design compact codes are produced that are scalable with respect to rate, quality, and resolution. In our encodings of complex 3D models competitive rate-distortion performances were achieved with excellent reconstruction quality at under 3 bits per point (bpp).