DocumentCode
2294020
Title
Object Localization Based on Global Structure Constraint Model and Particle Swarm Optimization
Author
Liu, Miao ; Guo, Dongwei ; Ma, Jie ; Zhou, Chunguang ; Wang, Congshi
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Jilin
fYear
2008
fDate
16-18 July 2008
Firstpage
315
Lastpage
318
Abstract
In this paper, the global structure constraint model (GSC) is used to present the target objects, and the evolutionary algorithm, particle swarm optimization (PSO) is exploited for searching the optimal status of the target in the new images. The experimental results show that this method can achieve effective results.
Keywords
evolutionary computation; face recognition; object recognition; particle swarm optimisation; evolutionary algorithm; global structure constraint model; object localization; particle swarm optimization; Computer science; Computer vision; Educational institutions; Evolutionary computation; Face; Geometry; Humans; Object recognition; Particle swarm optimization; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Science and Engineering, 2008. CSE '08. 11th IEEE International Conference on
Conference_Location
Sao Paulo
Print_ISBN
978-0-7695-3193-9
Type
conf
DOI
10.1109/CSE.2008.28
Filename
4578248
Link To Document