找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C. V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International

[复制链接]
楼主: 变更
发表于 2025-3-27 01:02:49 | 显示全部楼层
Person Re-identification Using Clustering Ensemble Prototypesf each prototype depends upon the appearance characteristics of gallery instances. The estimation of k-NN classifier is employed to specify a prototype to a given probe image. The similarity measure computation is performed between the probe and a subset of gallery images, that shares the same proto
发表于 2025-3-27 01:23:07 | 显示全部楼层
Evaluation of Smile Detection Methods with Images in Real-World Scenarios LL-SVM is verified to find a balance between accuracy and efficiency. And among all the features including pixel value intensity, Gabor, LBP and HOG features, we find that HOG features are the most appropriate features to detect smiling faces, which, combined with RBF kernel SVM, achieve an accurac
发表于 2025-3-27 05:40:12 | 显示全部楼层
发表于 2025-3-27 10:59:10 | 显示全部楼层
发表于 2025-3-27 17:33:34 | 显示全部楼层
Conference proceedings 2015l Workshop on Video Segmentation in Computer Vision, the Workshop: My Car Has Eyes: Intelligent Vehicle with Vision Technology, the Third Workshop on E-Heritage, and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Simila
发表于 2025-3-27 18:11:04 | 显示全部楼层
发表于 2025-3-27 22:13:23 | 显示全部楼层
发表于 2025-3-28 04:40:35 | 显示全部楼层
Spectral Shape Decomposition by Using a Constrained NMF Algorithmken into account. Starting from a contaminated observation matrix, the objective is to reveal its low rank almost block diagonal form. Although the proposed technique is applied to shapes on the MPEG7 database, it can be extended to 3D objects. The preliminary results we have obtained are very promising.
发表于 2025-3-28 07:02:28 | 显示全部楼层
发表于 2025-3-28 11:55:54 | 显示全部楼层
The Cultural Sociology of Art and Musicto the best matched PSF, where the transformation for each PSF is learned in the training stage. Experimental results on the FERET database show the proposed method achieve comparable performance against the state-of-the-art blur-invariant face recognition methods, such as LPQ and FADEIN.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-25 15:58
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表