Perceptually Motivated Real-Time Compression of Motion Data Enhanced by Incremental Encoding and Parameter Tuning

The data structure is designed to allow for easy compression, storage, segmentation, and reconstruction of volumetric data such as scanned neuronal data.. By “polymerizing”

We have described a streaming compression scheme that allows encoding meshes on-the-fly by operating on a partial representation of the connectivity that is created and deleted as

Interestingly, whereas al- most all connectivity compression techniques are lossless, geometry compression results in the literature almost always include a quantization step

This paper describes a motion blur technique which can be applied to rendering fluid simulations that are carried out in the Eulerian framework.. Existing motion blur techniques can

It consists of the following steps: (1) high-fidelity expressive facial mo- tion data of human subjects are recorded, (2) objective facial motion patterns are extracted by

Incorporating Parameterized Motion Groups One of the challenges of character animation based on mo- tion data is that it may require large databases and exces- sive sampling of

Experiments conducted on synthetic and real data demonstrate the respective roles of flow and feature constraints as well as their ability to provide robust surface motion cues

When an elongation (or a compression) is measured on a cell of the mesh (e.g. an edge length is becoming to high/short), selecting the cells upon which topological op- erations must