21.2.9 Face Analysis, Poggio and the MIT Group

Brunelli, R., Falavigna, D.,
Person Identification Using Multiple Cues,
PAMI(17), No. 10, October 1995, pp. 955-966.
IEEE Abstract. IEEE Top Reference.
WWW Version. Template Matching. Robust Technique. Template matching approach. Combines acoustic and visual features. BibRef 9510

Brunelli, R.[Roberto], Falavigna, D.[Daniele], Poggio, T.[Tomaso], Stringa, L.[Luigi],
Automatic Person Recognition by Acoustic and Geometric Features,
MVA(8), No. 5, 1995, pp. 317-325.
HTML Version. BibRef 9500

Brunelli, R.[Roberto], Falavigna, D.[Daniele], Poggio, T.[Tomaso], Stringa, L.[Luigi],
Recognition system, particularly for recognising people,
US_Patent5,412,738, May 2, 1995.
WWW Version. BibRef 9505

Brunelli, R., and Poggio, T.,
Face Recognition: Features versus Templates,
PAMI(15), No. 10, October 1993, pp. 1042-1052.
IEEE Abstract. IEEE Top Reference.
WWW Version. Compares 2 simple techniques, one based on geometric features the other based on almost-gray-level template matching. 90% using features and perfect results using template matching. Using 47 examples. BibRef 9310

Sung, K.K.[Kah-Kay], and Poggio, T.[Tomaso],
Example-Based Learning for View-Based Human Face Detection,
PAMI(20), No. 1, January 1998, pp. 39-51.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9803 BibRef
Earlier: A2, A1: ARPA94(II:843-850). BibRef
And: MIT AI Memo-1521, January 1995. View Interpolation.
WWW Version. BibRef

Sung, K.K.[Kah-Kay], Poggio, T.[Tomaso],
Learning human face detection in cluttered scenes,
CAIP95(432-439).
WWW Version. 9509 BibRef

Heisele, B.[Bernd], Serre, T.[Thomas], Prentice, S.[Sam], Poggio, T.[Tomaso],
Hierarchical classification and feature reduction for fast face detection with support vector machines,
PR(36), No. 9, September 2003, pp. 2007-2017.
WWW Version. 0307 BibRef

Heisele, B.[Bernd], Poggio, T.[Tomaso], Pontil, M.[Massimiliano],
Face Detection in Still Gray Images,
MIT AI Memo-1687, May, 2000.
WWW Version. 0105 BibRef

Serre, T.[Thomas], Heisele, B.[Bernd], Mukherjee, S.[Sayan], Poggio, T.[Tomaso],
Feature Selection for Face Detection,
MIT AI Memo-1697, September, 2000. Method to select features for a face detection system using Support Vector Machines (SVMs).
WWW Version. 0105 BibRef

Sinha, P.[Pawan], Poggio, T.[Tomaso],
View-Based Strategies for 3D Object Recognition,
MIT AI Memo-1518, November 1994. BibRef 9411

Brunelli, R., Poggio, T.,
Face Recognition Through Geometrical Features,
ECCV92(792-800).
WWW Version. BibRef 9200

Poggio, T.[Tomaso], Brunelli, R.[Roberto],
A Novel Approach to Graphics,
MIT AI Memo-354, February 1992.
WWW Version. BibRef 9202

Brunelli, R., Poggio, T.,
Hyperbf Networks For Real Object Recognition,
IJCAI91(1278-1284). BibRef 9100

Beymer, D.J.[David J.], Poggio, T.[Tomaso],
Face Recognition from One Example View,
ICCV95(500-507).
WWW Version.
WWW Version.
Postscript Version. BibRef 9500
And: MIT AI Memo-1536, September, 1995.
Postscript Version. And
WWW Version. Good results from 2-D example views alone. BibRef

Poggio, T.[Tomaso], Beymer, D.J.[David J.],
Learning Networks for Face Analysis and Synthesis,
AFGR95(160-165).
Postscript Version. BibRef 9500

Beymer, D.J.[David J.],
Pose-Invariant Face Recognition Using Real and Virtual Views,
MIT AI-TR-1574, March, 1996.
WWW Version. BibRef 9603

Beymer, D.J.[David J.],
Face Recognition Under Varying Pose,
CVPR94(756-761).
IEEE Abstract. IEEE Top Reference.
Postscript Version. BibRef 9400
And: MIT AI Memo-1461, December 1993.
WWW Version. Or:
Postscript Version. Iconic model 98% for 62 people. BibRef

Beymer, D.J.[David J.],
Vectorizing Face Images by Interleaving Shape and Texture Computations,
MIT AI Memo-1537, September, 1995.
WWW Version. Or:
Postscript Version. BibRef 9509

Beymer, D.J.[David J.],
Feature Correspondence by Interleaving Shape and Texture Computations,
CVPR96(921-928).
IEEE Abstract. IEEE Top Reference.
WWW Version.
Postscript Version. BibRef 9600
And: MIT AI Memo-1537, 1995.
Postscript Version. BibRef

Beymer, D.J.[David J.], Shashua, A.[Amnon], and Poggio, T.[Tomaso],
Example Based Image Analysis and Synthesis,
MIT AI Memo-1431, November 1993.
WWW Version. BibRef 9311

Romano, R., Beymer, D.J., Poggio, T.,
Face Verification for Real-Time Applications,
ARPA96(747-756). BibRef 9600

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis, Shading, Illumination and Color Variations .