Optimized Prediction for Geometry Compression of Triangle Meshes

Author(s):  
D. Chen ◽  
Yi-Jen Chiang ◽  
N. Memon ◽  
Xiaolin Wu
2020 ◽  
Vol 2020 (17) ◽  
pp. 34-1-34-7
Author(s):  
Matthew G. Finley ◽  
Tyler Bell

This paper presents a novel method for accurately encoding 3D range geometry within the color channels of a 2D RGB image that allows the encoding frequency—and therefore the encoding precision—to be uniquely determined for each coordinate. The proposed method can thus be used to balance between encoding precision and file size by encoding geometry along a normal distribution; encoding more precisely where the density of data is high and less precisely where the density is low. Alternative distributions may be followed to produce encodings optimized for specific applications. In general, the nature of the proposed encoding method is such that the precision of each point can be freely controlled or derived from an arbitrary distribution, ideally enabling this method for use within a wide range of applications.


2017 ◽  
Vol 90 ◽  
pp. 105-112 ◽  
Author(s):  
Bangquan Liu ◽  
Shuangmin Chen ◽  
Shi-Qing Xin ◽  
Ying He ◽  
Zhen Liu ◽  
...  

2017 ◽  
Vol 56 (33) ◽  
pp. 9285 ◽  
Author(s):  
Tyler Bell ◽  
Bogdan Vlahov ◽  
Jan P. Allebach ◽  
Song Zhang

Author(s):  
Fernando de Goes ◽  
Mathieu Desbrun ◽  
Yiying Tong
Keyword(s):  

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