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» Recognizing Sign Language from Brain Imaging
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DAGM
2005
Springer
14 years 4 months ago
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
In this paper, we employ a zero-order local deformation model to model the visual variability of video streams of American sign language (ASL) words. We discuss two possible ways o...
Morteza Zahedi, Daniel Keysers, Thomas Deselaers, ...
FGR
2008
IEEE
229views Biometrics» more  FGR 2008»
14 years 5 months ago
Activity detection in conversational sign language video for mobile telecommunication
The goal of the MobileASL project is to increase accessibility by making the mobile telecommunications network available to the signing Deaf community. Video cell phones enable De...
Neva Cherniavsky, Richard E. Ladner, Eve A. Riskin
ICIP
2010
IEEE
13 years 8 months ago
Affine-invariant modeling of shape-appearance images applied on sign language handshape classification
We propose a novel affine-invariant modeling of hand shapeappearance images, which offers a compact and descriptive representation of the hand configurations. Our approach combine...
Anastasios Roussos, Stavros Theodorakis, Vassilis ...
ICPR
2006
IEEE
14 years 12 months ago
Identification of degraded traffic sign symbols by a generative learning method
We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly deg...
Hiroshi Murase, Hiroyuki Ishida, Ichiro Ide, Tomok...
VLSISP
2010
191views more  VLSISP 2010»
13 years 5 months ago
Sign Language Phoneme Transcription with Rule-based Hand Trajectory Segmentation
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...
W. W. Kong, Surendra Ranganath