首先根据处理形式的不同, 介绍了不同形式数据的特征和各自的典型应用场景以及相应的代表性
处理系统, 总结了大数据处理系统的三大发展趋势; 随后, 对系统支撑下的大数据分析技术和应用 …

3D meshes are commonly used to represent virtual surface and volumes. However, their raw
data representations take a large amount of space. Hence, 3D mesh compression has been …

Neural signed distance functions (SDFs) are emerging as an effective representation for 3D
shapes. State-of-the-art methods typically encode the SDF with a large, fixed-size neural …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

In this paper, we present a novel approach for 3D dental model segmentation via deep
Convolutional Neural Networks (CNNs). Traditional geometry-based methods tend to …

Many applications in computer graphics require complex, highly detailed models. However,
the level of detail actually necessary may vary considerably. To control processing time, it is …

Processing large point clouds is a challenging task. Therefore, the data is often sampled to a
size that can be processed more easily. The question is how to sample the data? A popular …

This fifth edition has been fully updated to cover the many advances made in CAGD and
curve and surface theory since 1997, when the fourth edition appeared. Material has been …

This paper discusses a new method for capturing the complete appearance of bothsynthetic
and real world objects and scenes, representing this information, and then using this …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …