中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improved fourier descriptors in model-based pose estimation

文献类型:会议论文

作者TangHui-Jun ; WenJia ; MaCai-Wen ; HuHai-Bin ; ZhouRen-Kui
出版日期2011
会议名称mippr 2011: pattern recognition and computer vision
会议日期november 4, 2011 - november 6, 2013
会议地点guilin, china
关键词Fourier descriptors invariance normalization shape matching optimal search model-based pose estimation
页码80040m
通讯作者tang huijun
英文摘要we use fourier descriptors (fd's) to represent shape in model-based pose estimation. specific invariance and normalization requirements for shape descriptors concerning to pose estimation are proposed. fd's are improved to meet such requirements. common issues and techniques for such application are focused on. starting point of the shape contour is fixed to the upper left corner point. distance pairs instead of edge coordinate pairs recast the shape sequence. moving average filtering is proceeded to remove the noises of the shape sequence. shape sequence is re-sampled to make it definite length. fd's amplitude is normalized to the range of 0 to 1. variance of sequences between observed and library fd's is defined as the shape matching objective function. for simulation, we use a missile model of milkshape3d format. results show that by adopting the improved fd's, we can arrive at a pose estimation practically by randomly optimal search of library fd's.
收录类别EI ; CPCI
产权排序1
会议主办者natl. key lab. sci. technol. multi-spectral inf. process.; huazhong university of science and technology; guilin university of electronic technology
会议录proceedings of spie - the international society for optical engineering
会议录出版者spie
会议录出版地p.o. box 10, bellingham, wa 98227-0040, united states
语种英语
ISSN号0277-786x
源URL[http://ir.opt.ac.cn/handle/181661/20007]  
专题西安光学精密机械研究所_光电测量技术实验室
推荐引用方式
GB/T 7714
TangHui-Jun,WenJia,MaCai-Wen,et al. Improved fourier descriptors in model-based pose estimation[C]. 见:mippr 2011: pattern recognition and computer vision. guilin, china. november 4, 2011 - november 6, 2013.

入库方式: OAI收割

来源:西安光学精密机械研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。