An Improved Progressive lossless Compression Algorithm
Nowadays, people want real-time remote observation and manipulation of 3D geometric data. So, it is necessary to research good 3D data representation methods. In this paper, we will propose a lossless geometry compression approach improved from the progressive valence-driven compression algorithm. It samples the model in a feature-sensitive fashion, with attempt to align the sampling vertices, called anchors, with sharp edges or the surface feature contours. Consequently, without increasing the compression ratio, our algorithm’s distortion ratio performance is better than the original and other recent similar algorithms, especially at low bit rates.
DANG Gang CHENG Zhi-Quan ZHOU Jingwen LI Liang Jin Shiyao
PDL Laboratory, National University of Defense Technology, P. R. China
国际会议
上海
英文
249-253
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）