Robert Y Wang
Summary:
Goal: Easy to use and inexpensive system for user input using hands.
Design: a glove with color patterns . optimal color pattern and pose recognition algorithms have been explained in this paper.
A nearest neighbor approach is used to recognize a hand pose. every pose gives different image. So the image lookup approach is being used. The query image is normalized and down-sampled before nearest neighbor is looked up.
As the database size increased the RMS error to the nearest neighbor image decreased. To increase the retrieval rate the author compressed the image into a 128 bit binary sequence and used hamming distance to compare images.
future work:
The experiments to determine the optimal color pattern. Three dimensions of change - color, spatial frequency of blobs and icons / shapes used.
Discussion:
It is a extremely cheap solution. I would like to read about the studies on the pattern color/ spatial frequency studies to know its significance.
I think the separability / difference between the different poses is a catch. The system works well for poses for which the images are different but i do not know if that would restrict the number of the poses.
The paper was interesting. I agree, it is a cheap solution.
ReplyDeleteYep. Cheap solution. But is it a long term solution?
ReplyDelete