A unified framework for improving the accuracy of all holistic face identification algorithms

被引：4

作者：

Chen, Liang ^{[1
]}

Tokuda, Naoyuki ^{[2
]}

机构：

[1] Univ No British Columbia, Dept Comp Sci, Prince George, BC V2N 4Z9, Canada

[2] SunFlare Co, R&D Ctr, Shinjuku Ku, Tokyo 1600004, Japan

来源：

ARTIFICIAL INTELLIGENCE REVIEW | 2010年 / 33卷 / 1-2期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Electoral College; Face identification; Face recognition; Holistic algorithms; Stability; HAMMING NETWORK; FEATURES;

D O I：

10.1007/s10462-009-9139-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Reconstructing the challenging human face identification process as a stability problem, we show that Electoral College can be used as a framework that provides a significantly enhanced face identification process by improving the accuracy of all holistic algorithms. The results are demonstrated by extensive experiments on benchmark face databases applying the Electoral College framework embedded with standard baseline and newly developed face identification algorithms.

引用

页码：107 / 122

页数：16

共 50 条

[41] Algorithms for improving adequacy of statistical identification
Aliev, TA
Musaeva, NF
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 1997, 36 (03) : 363 - 369
[42] A Unified Framework for Emotion Identification and Generation in Dialogues
Madasu, Avinash
Firdaus, Mauajama
Ekbal, Asif
17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023, 2023, : 73 - 78
[43] Unified framework of subspace and distance metric learning for face recognition
Liu, Qingshan
Metaxas, Dimitris N.
ANALYSIS AND MODELING OF FACES AND GESTURES, PROCEEDINGS, 2007, 4778 : 250 - 260
[44] A unified learning framework for real time face detection and classification
Shakhnarovich, G
Viola, PA
Moghaddam, B
FIFTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS, 2002, : 16 - 23
[45] A Unified Regularization Framework for Virtual Frontal Face Image Synthesis
Hao, Yuanhong
Qi, Chun
IEEE SIGNAL PROCESSING LETTERS, 2015, 22 (05) : 559 - 563
[46] A Unified Framework for Age Invariant Face Recognition and Age Estimation
Wu, Changhong
Su, Jianbo
PROCEEDINGS OF 2017 CHINESE INTELLIGENT AUTOMATION CONFERENCE, 2018, 458 : 623 - 630
[47] Hybrid algorithms of the person identification by face image
Fazilov, Sh Kh
Mirzaev, N. M.
Radjabov, S. S.
Mirzaeva, G. R.
INTERNATIONAL CONFERENCE: INFORMATION TECHNOLOGIES IN BUSINESS AND INDUSTRY, 2019, 1333
[48] Enabling Translatability of Generative Face Video Coding: A Unified Face Feature Transcoding Framework
Yin, Shanzhi
Chen, Bolin
Wang, Shiqi
Ye, Yan
2024 DATA COMPRESSION CONFERENCE, DCC, 2024, : 113 - 122
[49] A Unified Framework for High Fidelity Face Swap and Expression Reenactment
Peng, Bo
Fan, Hongxing
Wang, Wei
Dong, Jing
Lyu, Siwei
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32 (06) : 3673 - 3684
[50] Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms
Zhao, Mian
Shi, Peixin
Xu, Xunqian
Xu, Xiangyang
Liu, Wei
Yang, Hao
SENSORS, 2022, 22 (18)

← 1 2 3 4 5 →