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Face Detection And Recognition

A. Colmenarez, T. Huang
Published 1998 · Art

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Two of the most important aspects in the general research framework of face recognition by computer are addressed here: face and facial feature detection, and face recognition — or rather face comparison. The best reported results of the mug-shot face recognition problem are obtained with elastic matching using jets. In this approach, the overall face detection, facial feature localization, and face comparison is carried out in a single step. This paper describes our research progress towards a different approach for face recognition. On the one hand, we describe a visual learning technique and its application to face detection in complex background, and accurate facial feature detection/tracking. On the other hand, a fast algorithm for 2D-template matching is presented as well as its application to face recognition. Finally, we report an automatic, real-time face recognition system.
This paper references
Recognition of Planar Ob jects Classes
M. C. Burl (1995)
10.1109/CVPR.1996.517078
Recognition of planar object classes
M. Burl (1996)
Maximum Likelihood F ace Detection
A. Colmenarez (1996)
10.1109/34.655647
Neural Network-Based Face Detection
Henry A. Rowley (1998)
Recognition of Planar Objects Classes
M C Burl (1995)
Multi-Modular Neural Network Architectures: Pattern Recognition Applications in Optical Character Recognition and Human Face Recognition
F Soulie (1993)
10.1016/0031-3203(94)90017-5
Human face detection in a complex background
G. Yang (1994)
10.1109/CVPR.1997.609415
Face detection with information-based maximum discrimination
A. Colmenarez (1997)
Sirohey, "Human a d Machine Recognition of Faces: A Survey
R. Chellapa (1995)
10.1142/S0218001493000364
Multi-Modular Neural Network Architectures: Applications in Optical Character and Human Face Recognition
F. Fogelman-Soulié (1993)
10.1109/AFGR.1996.557238
A probabilistic framework for perceptual grouping of features for human face detection
K. C. Yow (1996)
10.1109/AFGR.1996.557280
Detection of human faces under scale, orientation and viewpoint variations
K. C. Yow (1996)
Maximum Likelihood detection of faces and hands
B. Moghaddam (1995)
10.1109/5.381842
Human and machine recognition of faces: a survey
R. Chellappa (1995)
10.1109/AFGR.1996.557282
Maximum likelihood face detection
A. Colmenarez (1996)
10.1109/34.655648
Example-Based Learning for View-Based Human Face Detection
K. K. Sung (1998)
10.1007/978-1-4757-3982-4
Entropy and Information Theory
R. Gray (1990)



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Awari-Yusuf Moshood Olawale (2015)
10.1117/12.541955
Live face detection based on the analysis of Fourier spectra
Jiangwei Li (2004)
Gesichtserkennung in Bildern und Videos mit Hilfe von Eigenfaces
S. Kopf (2005)
COMPARISON OF HOLISTIC AND FEATURE BASED APPROACHES TO FACE RECOGNITION
Stewart Tseng (2003)
10.33915/etd.5928
Evaluating the Performance of a Large-Scale Facial Image Dataset Using Agglomerated Match Score Statistics
Mounica Kamireddy (2016)
10.1145/3289100.3289132
Deep learning for a smart e-Icarning system
Abdessamad Chanaa (2018)
Real Time Facial Expression Recognition Using Webcam and SDK
Affectiva M. Magdin (2018)
10.5772/6640
PCA-ANN Face Recognition System based on Photometric Normalization Techniques
Shahrin Azuan Nazeer (2009)
Robust correlation and support vector machines for face identification
K. Jonsson (2000)
Face Recognition System for Mobile Phone
Mohd. (2014)
Data Retrieval using Face Recognition- A Review
Yogesh Chavan (2018)
10.1109/ICIP.1999.821715
Natural Mouse-a novel human computer interface
P. Hong (1999)
10.1109/ICVRV.2015.36
Perfect Group Photo Synthesis
Chuyang Li (2015)
A New Approach for Face Image Enhancement and Recognition
N. Amani (2013)
10.1109/MICROCOM.2016.7522448
Detection of faces from video files with different file formats
Pranti Dutta (2016)
Face Detection and Recognition for Automatic Attendance System Using Artificial Intelligence Concept
Pradeepa (2018)
10.14257/IJAST.2014.64.01
Image Processing for Face Recognition Rate Enhancement
Abdul-Ameer Abdul-Jabbar (2014)
10.1109/79.924885
Automatic face cloning and animation using real-time facial feature tracking and speech acquisition
T. Goto (2001)
HUMAN FACE AND EXPRESSION RECOGNITION WITH KERNEL FISHER ANALYSIS
Dolly Reney (2016)
Attendance Monitoring System Using Face Recognition
B AmruthaH. (2018)
Analysis, recognition and synthesis of facial gestures
C. Malsburg (2001)
Improved Face Recognition using Image Resolution Reduction and Optimization of Feature Vector
M. A. Anjum (2008)
Computer Aided Multi-Data Fusion Dismount Modeling
Juan Orlando León Morales (2012)
10.33915/etd.3994
Assessing the match performance of non-ideal operational facial images using 3D image data.
Rupindrani Aila (2016)
10.1109/34.899945
A Fast and Accurate Face Detector Based on Neural Networks
R. Féraud (2001)
10.17148/IJARCCE.2017.6362
Face Recognition System Using Hybrid Approach of Both Principal Component Analysis and Linear Discriminant Analysis
Priyanka Sood (2017)
Implementing Machine Learning for Face Recognition based Attendance Monitoring System
Tanya Kaushal Srivastava (2019)
10.1109/VIPMC.2003.1220507
Labeling of human body parts
S. Rajaram (2003)
10.25103/JESTR.095.21
Review on Machine Vision based Insulator Inspection Systems for Power Distribution System
P. Prasad (2016)
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