Abstract: This paper covers usage of matrix feature vectors and Hu moments in recognition of tactile sign language. The paper also provides comparative characteristic of both approaches and a variant of formation of feature vectors in matrix form. It is suggested to use orthogonal and ellipsoidal compliance distances for matrix feature vectors and numerical intervals for Hu moments.

Keywords: gesture recognition, Hu moments, orthogonal projectors, ellipsoidal distance, SVD – decomposition, pseudoinverse.

ACM Classification Keywords: I.2 Artificial Intelligence, I.4 Image Processing and Computer Vision, I.5 Pattern Recognition, G.1.3 Numerical Linear Algebra.

Link:

MATRIX FEATURE VECTORS AND HU MOMENTS IN GESTURE RECOGNITION

Volodymyr Donchenko, Andrew Golik

http://www.foibg.com/ijitk/ijitk-vol07/ijitk07-04-p08.pdf