In this paper, we present a novel dense local image representation method called Local
Walsh Transform (LWT) by applying the well-known Walsh Transform (WT) to each pixel of …

In this paper, we introduce a fast and novel biologically plausible frequency domain
approach to detect salient object which incorporates both local and global salient features …

Pattern detection is one of the essential technologies in computer vision. To solve pattern
detection problems, the system needs a vast amount of computational resources. To train a …

Palynological data are used in a wide range of applications. A new classification algorithm is
proposed for pollen grains. With a view to extract features from pollen images, an classifier …

In this paper we propose fast face recognition system based on the Kekre's transform. This
algorithm can be easily implemented and number of coefficients required for recognition …

Human activity recognition is one of the active research topics in the past decade. Many
applications have been developed in many domains such as health and sports. In this …

In this paper, we present a rich image representation which is robust to illumination, facial
expression and scale variations. For this aim, firstly, we propose a novel dense local image …

One of the major challenges encountered by current Face Recognition (FR) techniques lies
in the difficulties of handling varying poses and illuminations. In this paper we propose three …

Face recognition is a challenging problem in computer vision and artificial intelligence. One
of the main challenges consists in establishing a low-dimensional feature representation of …

In this paper, a novel local image representation method based on Walsh-Hadamard
Transform (WHT) called Local WHT (LWHT) is introduced. It is explained how to create …