Apr 23, 2012 · Two views with different view angles are used; each view generates its features' vector. The two 2D-vectors are then linearly combined into one ...
Two views with different view angles are used; each view generates its features' vector. The two 2D-vectors are then linearly combined into one 3D vector. The ...
The system uses two perpendicular cameras in X–Y space, each one generates its view image and PCNN signature. The two signatures are then linearly combined to ...
Overall, the findings indicate that utilizing multiple views significantly improves the recognition of complex gestures, making this approach a valuable tool ...
Two views with different view angles are used; each view generates its features' vector. The two 2D-vectors are then linearly combined into one 3D vector. The ...
3D Arabic sign language recognition using linear combination of multiple 2D views ... A model is proposed and developed for multiple-views hand postures ...
Missing: object technique
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In this paper we present a neural network (NN) based system for recognition and pose estimation of 3D objects from a single 2D perspective view. We develop ...
Oct 1, 2015 · 3D object recognition technique using multiple 2D views for Arabic sign language · Computer Science. J. Exp. Theor. Artif. Intell. · 2013.
It consists of 10 static gesture words and 500 videos for 10 dynamic gesture words. The dataset can be used to train and evaluate ASL recognition models.