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The paper proposes a class-specific feature assisted automatic classification approach of microscopic HEp-2 cell images. Unlike traditional methods our method highlights two important aspects: (1) the visual characteristics of classes to formulate class-specific image features and (2) the classification task is treated as hierarchical verification sub-tasks. Thus, the overall classification problem...
With the recent success of visual features from deep convolutional neural networks (DCNN) in visual robot self-localization, it has become important and practical to address more general self-localization scenarios. In this paper, we address the scenario of self-localization from images with small overlap. We explicitly introduce a localization difficulty index as a decreasing function of view overlap...
The present work describes the Moodle Analytics Dashboard (MAD), a tool developed to allow the visualization of students and professors logs in Moodle disciplines. MAD provides an easy way to obtain graphical visualization of several aspects related to students and professors accesses in virtual learning disciplines, thus helping professors to better follow teaching and learning process, as well as...
Network modularity is a key feature for efficient information processing in the human brain. This information processing is however dynamic and networks can reconfigure at very short time period (few hundreds of millisecond). This requires neuroimaging techniques with sufficient time resolution. Here the dense electroencephalography (EEG) source connectivity methods were used to identify cortical...
Equipment maintainability is a key factor of equipment general mass properties. The practical problem of the importance of the maintainability index is difficult to evaluate. In this study the evaluation index system of equipment maintainability is described and an incomplete judgment matrix is introduced into the fuzzy comprehensive evaluation method. The significance of the index is compared and...
This paper addresses the problem of building and maintaining image repositories which form the basis for world-scale visual models. The availability of these models enable capabilities such as visual localization, persistent surveillance, and structure from motion. We approach this problem through the creation of PeerAppear, a location-aware framework for extensible image annotation and peer-to-peer...
The purpose of this study is to investigate the effects of carpal tunnel syndrome on hand intrinsic muscle activities using surface electromyogram (sEMG) during precision grip. Six CTS patients and six age- and gender-matched healthy volunteers participated in the experiment. The subjects were instructed to stably grip an instrumented apparatus with their thumb and index finger for 80 s. The sEMG...
The rubber hand illusion (RHI) is a bodily illusion that a fake rubber hand is felt as if it was one's own hand when both the hands are synchronously stimulated. Also, it is well-known that people can experience the RHI when the movements of the visible fake and invisible real hands are synchronized. However, underlying mechanism of the RHI and relationship between action and body ownership are still...
A convex hull of points in E2 is used in many applications. In spite of low computational complexity O(h logn) it takes considerable time if large data processing is needed. We present a new algorithm to speed up any planar convex hull calculation. It is based on a polar space subdivision and speed up known convex hull algorithms of 3,7 times and more. The algorithm estimates the central point using...
La capacidad de percibir visualmente tres dimensiones constituye una ventaja importante para la adaptación al entorno; consciente de esto la humanidad ha desarrollado diferentes tecnicas y tecnologías que permiten replicar este fenomeno a partir de imágenes sinteticas. Los autoestereogramas son un metodo para la presentation de imagenes con profundidad estereoscopica que cuenta con características...
The main focus of research in algorithm visualization has lately been on pedagogical aspects, but graphical features also deserve be studied. This paper presents an evaluation conducted with students on the convenience of including several graphical elements (labels for identifiers, arrows and shadows) in the visualization of an iterative algorithm. Students performed two tasks: to answer an opinion...
The article describes UGR measurement with luminance analyzer and discusses overall impact of background luminance on the calculation result. Background luminance, defined as 2π, causes a problem if the luminance is on the periphery of the visual field. Another complication is that the position index is defined only for the upper half of the view. This causes a complication in glare measurements of...
In shape learning for a digital image, it is a common that one would encountered two major problems, which are noise and missing edges. The existing research approaches aim to reduce noise, while at the same time to recover the missing edges. However, noise reductions using contour detector or smoothening techniques could indirectly distort the salient boundary. Most of the research works only focus...
Finding highlights relevant to a text query in unedited videos has become increasingly important due to their unprecedented growth. We refer this task as semantic highlight retrieval and propose a query-dependent video representation for retrieving a variety of highlights. Our method consist of two parts: (1) “viralets”, a mid-level representation bridging between visual and semantic spaces; (2) a...
We developed an optical distortion correction technique for an eyeglasses-type wearable device using a multi-mirror array (MMA). This wearable device is small and light weight, but optics using MMA can cause optical distortions, such as geometric distortion and chromatic aberration of magnification, that depend on the user's pupil distance and degrade the visibility of displayed virtual images. We...
In this paper, we propose a reduced-reference (RR) objective quality assessment method that quantifies the perceived quality of synthesized textures. The proposed metric is based on measuring the granularity, regularity, and statistical attributes of the texture image. Furthermore, the proposed RR metric exhibits a significantly low overhead as compared to existing RR metrics by only requiring the...
We propose in this paper a novel perceptual viewpoint-independent metric for the quality assessment of 3D meshes. This full-reference objective metric relies on the method proposed by Wang et al. [1] that compares the structural informations between an original signal and a distorted one. In order to extract the structural informations of a 3D mesh, we use a multi-scale visual saliency map on which...
Intra-frame prediction in the High Efficiency Video Coding (HEVC) standard can be empirically improved by applying sets of recursive two-dimensional filters to the predicted values. However, this approach does not allow (or complicates significantly) the parallel computation of pixel predictions. In this work we analyze why the recursive filters are effective, and use the results to derive sets of...
Measuring visual quality, as perceived by human observers, is becoming increasingly important in the many applications in which humans are the ultimate consumers of visual information. This paper assesses the visual quality in mapping of high dynamic range (HDR) images to standard dynamic range (SDR) images with 8 bits/color/pixel. In previous work, the Tone-Mapped image Quality Index (TMQI) compares...
Reflection removal aims at separating the mixture of the desired scene and the undesired reflections. Locating reflection and background edges is a key step for reflection removal. In this paper, we present a visual depth guided method to remove reflections. Our idea is to use Depth of Field (DoF) to label the background and reflection edges. We propose a DoF confidence map where pixels with higher...
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