background and objective: vep is a powerful method to study visual system via evaluating evoked potentials. technologic and instrumental restrictions may be the reason of having studies on optical modulation and induction such as color, spatial frequency and contrast. developments of computer software and hardware may lead to an increase in the flexibility of pattern designs. material and meth...

Visual illusions are valuable tools for the scientific examination of the mechanisms underlying perception. In the peripheral drift illusion special drift patterns appear to move although they are static. During fixation small involuntary eye movements generate retinal image slips which need to be suppressed for stable perception. Here we show that the peripheral drift illusion reveals the mech...

Recognition of visual patterns is one of significant applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In the paper, a simplified neural approach to recognition of visual patterns is portrayed and discussed. This paper is dedicated for investigators in visual patterns recognition, Artificial Neural Networking and related...

Case mixing is a technique that is used to investigate the perceptual processes involved in visual word recognition. Two experiments examined the effect of case mixing on lexical decision latencies. The aim of these experiments was to establish whether different case mixing patterns would interact with the process of appropriate visual segmentation and phonological assembly in word reading. In ...

This paper deals with the combined use of Local Binary Pattern (LBP) features and a Self-Organizing Map (SOM) in texture classification. With this approach, the unsupervised learning and visualization capabilities of a SOM are utilized with highly efficient histogram-based texture features. In addition to the Euclidean distance normally used with a SOM, an information theoretic log-likelihood (...

The variety of natural patterns makes it difficult to analyze and compare them in a systematic manner. We address this problem by focusing on the computational aspects of pattern formation processes. They are characterized in terms of the number of morphogenetic agents, the computing capability of each agent, and the forms of information transfer between the agents and their environment. This c...

Local Graph Structure (LGS) and its variation Symmetric Local Graph Structure (SLGS) have been proven to be effective for image recognition. However, they have shortcomings without considering the contribution of the difference between the target pixel and the surrounding pixels, and the difference between surrounding pixels to the feature value of the target pixel. To overcome the shortcomings...

Recently, a spatiotemporal local binary pattern operator from three orthogonal planes (LBP-TOP) was proposed for describing and recognizing dynamic textures and applied to facial expression recognition. In this paper, we extend the LBP-TOP features to multi-resolution spatiotemporal space and use them for describing facial expressions. AdaBoost is utilized to learn the principal appearance and ...

Neural projection techniques can adaptively map high-dimensional data into a low-dimensional space, for the user-friendly visualization of data collected by different security tools. Such techniques are applied in this study for the visual inspection of honeypot data, which may be seen as a complementary network security tool that sheds light on internal data structures through visual inspectio...

In image and video data, visual pattern refers to re-occurring composition of visual primitives. Such visual patterns extract the essence of the image and video data that convey rich information. However, unlike frequent patterns in transaction data, there are considerable visual content variations and complex spatial structures among visual primitives, which makes effective exploration of visu...