Titlebook: Computer Vision; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017

引起

Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial Featuasets, and real scene dataset which is built by our group show that the proposed feature extraction method obtains the best performance among some state-of-the-art methods. The relevant code and data will be available at ..

掙扎

Learning Shared and Specific Factors for?Multi-modal Datatriadic autoencoder with deep architecture is developed for the shared and specific factors learning. Extensive experiments are conducted for cross-modal retrieval and multi-model clustering, which clearly demonstrate the effectiveness of our model.

極為憤怒

cartilage

An Automatic Shoeprint Retrieval Method Using Neural Codes for Commercial Shoeprint Scannersure dimension is reduced dramatically. To our knowledge, this is the first study using the database collected by commercial shoeprint scanners, and our method obtained a cumulative match score of 88.7% at top 10.

無力更進(jìn)

Anecdote

Lecture Notes in Computer Scienceplexity of time that one model can be treated as two models. LMNN is used as a post-processing procedure to improve the discrimination of the combined features. Our experiments show relatively competitive results on LFW, CFP, and CACD datasets.

gait-cycle

Yilei Chen,Nicholas Genise,Pratyay Mukherjeenformation of facial expressions. Finally, the multiclass support vector machine (SVM) with one-versus-one strategy is applied to classify facial expressions. Experimental results on the extended Cohn-Kanade (CK+) and Oulu-CASIA datasets demonstrate the superiority of our proposed method.

引導(dǎo)

Advances in Cryptology – ASIACRYPT 2019stem also provides flexible functionality and extensions to adopt other biometric recognition algorithm for cross-checking and provides a higher reliability. Experiments show that the proposed system offers a good performance and is robust to face occlusions.

指派

: (Almost) Free Branching in GMWt. This proposal has been implemented on three widely used benchmark databases and the results evaluated in terms of mean Average Precision (mAP), precision, recall, and .1-measure show that our proposal outperforms the referred state-of-the-art approaches.

considerable

https://doi.org/10.1007/978-3-030-64837-4each view features and the importance of individual feature in each view to boost the feature selection performance. Extensive experiments are performed on two image datasets and the results show the effectiveness of the proposed method SMSFS.