Combination of tangent distance and an image distortion model for appearance-based sign language

Lecture Notes in Computer Science

Volumn 3663, Issue , 2005, Pages 401-408

  Zahedi, Morteza ^a   Keysers, Daniel ^a   Deselaers, Thomas ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; DISTANCE MEASUREMENT; IMAGE PROCESSING; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PATTERN RECOGNITION;

AFFINE GLOBAL TRANSFORMATIONS; AMERICAN SIGN LANGUAGE (ASL); APPEARANCE-BASED SIGN LANGUAGE; IMAGE DISTORTION; TANGENT DISTANCE;

COMPUTATIONAL LINGUISTICS;

EID: 27244449638     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11550518_50     Document Type: Conference Paper

References (12)

1. P. Simard, Y. Le Cun, J. Denker. Efficient Pattern Recognition Using a New Transformation Distance. In Advances in NIPS, pp. 50-58, Morgan Kaufmann, 1993.
2. D. Keysers, W. Macherey, H. Ney, J. Dahmen. Adaptation in Statistical Pattern Recognition Using Tangent Vectors. In TPAMI, 26(2):269-274, Feb. 2004.
3. D. Keysers, C. Gollan, H. Ney. Local Context in Non-linear Deformation Models for Handwritten Character Recognition. In ICPR, vol. 4, pp. 511-514, Cambridge, UK, Aug. 2004.
4. P. Dreuw, D. Keysers, T. Deselaers, H. Ney. Gesture Recognition Using Image Comparison Methods. In Gesture in Human-Computer Interaction and Simulation, Vannes, France, May 2005. In press.
5. M. Zahedi, D. Keysers, H. Ney. Pronunciation Clustering and Modeling of Variability for Appearance-based Sign Language Recognition. In Gesture in Human-Computer Interaction and Simulation, Vannes, France, May 2005. In press.
6. M. Zahedi, D. Keysers, H. Ney. Appearance-based Recognition of Words in American Sign Language. In Iberian Conf. on Pattern Recognition and Image Analysis, Estoril, Portugal, June 2005. In press.
7. L.R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. In Proc. of the IEEE, 77(2):267-296, Feb. 1989.
8. R. Bowden, D. Windridge, T. Kadir, A. Zisserman, M. Brady. A Linguistic Feature Vector for the Visual Interpretation of Sign Language. In ECCV, pp. 390-401, Prague, Czech Republic, May 2004.
9. B. Bauer, H. Hienz, K.F. Kraiss. Video-Based Continuous Sign Language Recognition Using Statistical Methods. In ICPR, pp. 463-466, Barcelona, Spain, Sep. 2000.
10. T. Starner, J. Weaver, A. Pentland. Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video. In TPAMI, 20(12):1371-1375, Dec. 1998.
11. C. Vogler and D. Metaxas. Adapting Hidden Markov Models for ASL Recognition by Using Three-dimensional Computer Vision Methods. In Proc. Int. Conf. on Systems, Man and Cybernetics, pp. 156-161, Orlando, FL, Oct. 1997.
12. D. Keysers, J. Dahmen, H. Ney, B. Wein, and T.M. Lehmann Statistical Framework for Model-based Image Retrieval in Medical Applications In Journal of Electronic Imaging 12(1):59-68, Jan. 2003.