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Underwater object detection by fusing features from different representations of sonar data
《Frontiers of Information Technology & Electronic Engineering》2023年第6期828-843,共16页Fei WANG Wanyu LI Miao LIU Jingchun ZHOU Weishi ZHANG 
supported by the National Natural Science Foundation of China(No.62103072);the Postdoctoral Science Foundation of China(No.2021M690502)。
Modern underwater object detection methods recognize objects from sonar data based on their geometric shapes.However,the distortion of objects during data acquisition and representation is seldom considered.In this pa...
关键词：Underwater object detection Sonar data representation Feature fusion 
Fusing magnitude and phase features with multiple face models for robust face recognition被引量：1
《Frontiers of Computer Science》2018年第6期1173-1191,共19页Yan LI Shiguang SHAN Ruiping WANG Zhen CUI Xilin CHEN 
partially supported by the National Basic Research Program of China (2015CB351802);the National Natural Science Foundation of China (Grant Nos.61390511,61222211, 61379083,61271445);the Strategic Priority Research Program of the CAS (XDB02070004); the Youth Innovation Promotion Association CAS (2015085).
3D face recognition based on principal axes registration and fusing features
《Frontiers of Electrical and Electronic Engineering in China》2011年第2期347-352,共6页Hongxia ZHANG Yanning ZHANG Zhe GUO Zenggang LIN Chao ZHANG 
The authors would like to acknowledge the use of the GavabDB face database in this paper due to Moreno and Sanchez.This work was supported in part by the National Natural Science Foundation of China(Grant No.60872145);the National High Technology Research and Development Program of China(No.2009AA01Z315);the Cultivation Fund of the Key Scientific and Technical Innovation Project,Ministry of Education of China(No.708085).
A 3D face recognition approach which uses principal axes registration(PAR)and three face representation features from the re-sampling depth image:Eigenfaces,Fisherfaces and Zernike moments is presented.The approach ad...
关键词：3D face recognition principal axes registration(PAR) fusion feature weighted voting 
The 3D Face Recognition Algorithm Fusing Multi-geometry Features被引量：3
《自动化学报》2008年第12期1483-1489,共7页SUN Yan-Feng TANG Heng-Liang YIN Bao-Cai 
Supported by National Natural Science Foundation of China （60533030） and Beijing Natural Science Foundation （4061001）
因为它的 insensitivity， 3D 脸识别吸引越来越多的注意到照明和姿势的变化。有在这个话题要解决的许多关键问题，例如 3D 脸表示和有效多特征熔化。在这份报纸，一个新奇 3D 脸识别算法被建议，它的性能在 BJUT-3D 脸数据库上被表明...
关键词：三维系统 人脸识别系统 计算方法 几何特征 
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