Action recognition in video and still image is one of the most challenging research topics in pattern recognition and computer vision. This paper proposes a new method for video action classification based on 3D Zernike moments. These last ones aim to capturing both structural and temporal information of a time varying sequence. The originality of this approach consists to represent actions in ...

In the shaft axis monitoring of hydrogenerating unit condition and fault diagnosis, orbit is intuitive comprehensively reflects operation state, different orbits correspond to types, which can accurately indicate a system vibration fault. Shaft identification has important significance for diagnosis. getting feature extraction pattern recognition orbit, Zernike moment better than Hu moment; it ...

In this paper, we propose a method for classification 3D human activities using the complementarity of CNNs, LSTMs, and DNNs by combining them into one unified architecture called CLDNN. Our approach is based on prediction Zernike Moments some relevant joints body through Kinect Activity Recognition Dataset. KARD includes 18 each activity consists real-world point clouds that have been carried ...

Aims: The biosynthesis of nanoparticles is widely considered today. The aim of this investigation was the biosynthesis and coating of Ag.NPs with Zataria multiflora (Zm-Ag.NPs) leaf extract and assess its apoptosis promoting effects. Methods: The Zm-Ag.NPs was characterized by UV-visible and FTIR spectroscopy, TEM, EDS, DLS and measurement of zeta-potential. Apoptosis induction effects of Zm-A...

Three dimensional surface matching is an important problem in computer vision. The process of surface matching is to match similar regions or correspondences across multiple surfaces with unknown relative poses. Many surface descriptors for finding correspondences have been proposed. However, most of these approaches have been used in triangle mesh surfaces. In this paper, a local surface descr...

Moment functions de0ned using a polar coordinate representation of the image space, such as radial moments and Zernike moments, are used in several recognition tasks requiring rotation invariance. However, this coordinate representation does not easily yield translation invariant functions, which are also widely sought after in pattern recognition applications. This paper presents a mathematica...

For A ⊆ Zm and n ∈ Zm, let σ1(A, n), σ2(A, n), σ3(A, n) denote the number of solutions of the equation n = a+a′ with ordered pairs (a, a′) ∈ A, unordered pairs (a, a′) ∈ A(a = a′) and unordered pairs (a, a′) ∈ A, respectively. In this paper, for any i ∈ {1, 2, 3}, we determine all subsets A of Zm such that σi(A, n) = σi(Zm\A, n) holds for all n ∈ Zm.