DocumentCode
1565344
Title
3D object recognition technique based on muti-resolution aspect graph
Author
Yuan-Luo ; Huimin-ma ; Fengting-Li
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing
Volume
2
fYear
2005
Firstpage
1168
Lastpage
1172
Abstract
Aspect graph enables new and exciting applications, but also poses significant technical challenges. In this paper, we give a brief overview of aspect graph and its applications with an emphasis on 3D object recognition at first. We then compare various partition algorithms for aspect graph space and analyze their advantages and disadvantages; furthermore we give two improving methods to aspect graph space partition: pruning strategy and approximating approach. Finally, based on a specific application on airplane recognition, we propose a 3D object recognition strategy using multi-resolution aspect graph, and the result shows that it can effectively solve the problems of practicability and stability in actual 3D object recognition
Keywords
graph theory; image resolution; object recognition; 3D object recognition technique; approximating approach; multi-resolution aspect graph; partition algorithms; pruning strategy; Airplanes; Algorithm design and analysis; Data structures; Equations; Humans; Object recognition; Partitioning algorithms; Spatial resolution; Stability; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614823
Filename
1614823
Link To Document