On Intelligence
3D Hand Reconstruction from a Monocular View
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Multi-view Appearance-based 3D Hand Pose Estimation
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Advanced Man-Machine Interaction: Fundamentals and Implementation (Signals and Communication Technology)
Real Time Posture Estimation of Human Hand for Robot Hand Interface
ISUC '08 Proceedings of the 2008 Second International Symposium on Universal Communication
A boosted classifier tree for hand shape detection
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
On the optimization of Hierarchical Temporal Memory
Pattern Recognition Letters
Vision-Based recognition of fingerspelled acronyms using hierarchical temporal memory
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
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Hierarchical Temporal Memory (HTM), a new computational paradigm based on cortical theory, has been applied to vision-based hand shape recognition under large variations in hand's rotation. HTM's abilities to build invariant object representations and solve ambiguities have been explored and quite promising results have been achieved for the difficult recognition task. The four-component edge orientation histograms calculated from the Canny edge images, have been proposed as the output of the HTM sensors. The two-layer HTM, with 16×16 nodes in the first layer and 8×8 in the second one, has been experimentally selected as the structure giving the best results. The 8 hand shapes, generated for 360 different rotations, have been recognized with efficiency up to 92%.