A Study of Ancient Ceramics Verification Based on Vision Methods
Ceramics appraisal is a hot topic in field of cultural relic collection.Traditionally,there are mainly two types of ceramics appraisal methods,which are experience-based methods and technology-based methods.In practice,the both methods would cause high cost and time consuming.In this paper,a novel vision based method,which is mainly inspired by the idea of biometrics recognition techniques,is proposed to achieve efficiently verification of the identity of a ceramics.In this method,the microscopic information of a ceramics captured by a digital microscope camera are used as the characteristics for verification.In technical detail,SURF(Speeded Up Robust Features) is first employed to align the probe image to the gallery images.LBP(Local Binary Patterns) features are then extracted from the two aligned images.Finally,Chi-square distance is calculated to measure the similarity between probe and gallery.Experiments on the dataset constructed by this paper demonstrate the state-of-the-art performance of our method.
Ancient ceramics verification SURF Local binary patterns Biometric recognition
Yunqi Tang Jianwei Ding Wei Guo
Department of Criminal Science and Technology,Peoples Public Security University of China,Beijing,1 Department of Police Information Engineering,Peoples Public Security University of China,Beijing,10
国际会议
Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)
长沙
英文
63-71
2014-11-01（万方平台首次上网日期，不代表论文的发表时间）