Similarity Quantization: Compressed Sensing Application
In this paper, a similarity vector, which can be used to estimate the level of the background clutter, between the target image and the background image is obtained by taking advantage of the theories of the compressed sensing. And the similarity vector, in the future, can be applied to develop a clutter metric based on target features, so that we can predict the target acquisition performance without a great deal of priori knowledge about the target image to be detected. Moreover, the experiment results demonstrate its feasibility on the search_2 database.
Jie Wu Cui Yang Jianqi Zhang
School of Technical Physics, Xidian University, Xi’an Shanxi 710071, China
国际会议
上海
英文
1475-1478
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）