Sponsored by
 
Events
News
 
[ Events ]
 
 

Activity Search
Sort out
Field
 
Year
Seminars  
 
NCTS Seminar on Scientific Computing
 
13:30 - 14:20, January 6, 2020 (Monday)
SA307, Science Building I, NYCU
(交通大學科學一館 307室)
Data Sampling by Random Rays with Application to 3D Point Cloud Classification
Yen-Hsi Richard Tsai (University of Texas at Austin)

Abstract:

We present a novel framework for sampling data using random rays and the nearest neighbor mapping. Random rays are cast into the Euclidean space in which data are embedded. These rays are projected onto the data set based on the nearest neighbor mapping. The recorded information are called the "ray signatures."  We show some features and statistical invariant properties of the signatures.  Finally, we present a deep neural network model that takes as input a ray signature and classifies discrete unstructured 3D point clouds or surfaces. We present comparisons to some existing prominent neural network models.



 

back to list  
 (C) 2021 National Center for Theoretical Sciences