Ryoichi Nakashima  Kazuhiko Yokosawa 《Visual cognition》2018,26(1):37-47

What is the role of continuously focused attention on an object in change detection? To ensure focused attention on one object, we conducted a single object change detection task, manipulating an object’s location between pre-change and post-change displays (same or different location), and also manipulating a blank duration (the FOD task) and a pre-change object presentation duration (the FBD task). If attention is continuously focused at the spatial location of the pre-change object, a location shift of the post-change object should interrupt change detection due to a cognitive cost of attentional shift. Results suggest attention is focused continuously for a brief blank duration, and attention can facilitate the detection of change occurring at the location of attentional focus. Additionally, although attention is focused continuously for a long time if a target is visible, the effect of attention declines with time. The results clarify the new temporal characteristics of focused attention.  相似文献   

    

Jennifer A. Day  Nicolas Davidenko 《Visual cognition》2018,26(2):89-99

This study considers the conception that drawing or copying a face that is vertically inverted will improve the accuracy of the drawing by preventing holistic interference. We used a novel parameterized face space both for generating face stimuli and for measuring the physical accuracy of drawings. One group of participants (the artists) were asked to draw 16 parameterized faces (eight upright and eight inverted). We computed two physical measures of accuracy by comparing the face-space representation of each drawing to the original face. A second and third group of participants (the raters) compared the similarity between each original face and each pair of drawings of that face (one upright and one inverted per artist). For the second group, all faces were presented upright; for the third group, all faces were presented inverted. Our results showed that upright drawings were more accurate than inverted drawings, both in terms of the physical face-space measure and in terms of the perceptual judgments for both orientations. Our data suggest that holistic processing may aid rather than hinder face drawing accuracy.  相似文献   

    

《Cognitive Systems Research》2018

Facial expression recognition in a wild situation is a challenging problem in computer vision research due to different circumstances, such as pose dissimilarity, age, lighting conditions, occlusions, etc. Numerous methods, such as point tracking, piecewise affine transformation, compact Euclidean space, modified local directional pattern, and dictionary-based component separation have been applied to solve this problem. In this paper, we have proposed a deep learning–based automatic wild facial expression recognition system where we have implemented an incremental active learning framework using the VGG16 model developed by the Visual Geometry Group. We have gathered a large amount of unlabeled facial expression data from Intelligent Technology Lab (ITLab) members at Inha University, Republic of Korea, to train our incremental active learning framework. We have collected these data under five different lighting conditions: good lighting, average lighting, close to the camera, far from the camera, and natural lighting and with seven facial expressions: happy, disgusted, sad, angry, surprised, fear, and neutral. Our facial recognition framework has been adapted from a multi-task cascaded convolutional network detector. Repeating the entire process helps obtain better performance. Our experimental results have demonstrated that incremental active learning improves the starting baseline accuracy from 63% to average 88% on ITLab dataset on wild environment. We also present extensive results on face expression benchmark such as Extended Cohn-Kanade Dataset, as well as ITLab face dataset captured in wild environment and obtained better performance than state-of-the-art approaches.  相似文献   

    

《Cognitive Systems Research》2018

Road detection is a basic task in automated driving field. In existing methods, detecting lane marks is a frequently used approach. However, road marks could fade with time, or even do not exist on some roads. Considering these factors, road region segmentation from background is much more reliable. One of the difficulties in this area is dealing with variant illumination conditions. Existing methods make some progress on reducing the influence of shadows, but they are still not satisfactory. Taking this into account, we put forward an improved shadow-free road detecting method based on color names, whose performance exceeds the existing methods. In addition, to further improving our performance on application, we adopt vanishing point detection and fuse two confidence maps to reduce the interference of sidewalk regions. Experiments on KITTI dataset depict that the proposed method is efficient. Moreover, the improved road detection method has low-complexity, which meets the requirement of practical usage.  相似文献   

    

《Cognitive Systems Research》2018

Due to the progression in computer vision technology, object recognition systems have gained considerable research interest. Though there are numerous object recognition systems in the literature, there is always a constant demand for better object recognition systems. Taking this as a challenge, this work proposes a novel object recognition system based on points of interest and feature extraction. Initially, the points of interest of the image are selected by means of Derivative Kadir-Brady (DKB) detector and the neighbourhood pixels of a particular window size are selected for further processing. The gabor and curvelet features are extracted from the area of interest, followed by the Support Vector Machine (SVM) classification. The performance of the proposed object recognition system is evaluated against three analogous techniques in terms of accuracy, precision, recall and F-measure. On experimental analysis, it is proven that the proposed approach outperforms the existing approaches and the performance of the proposed work is satisfactory.  相似文献   

    

Tage Alalehto  Reza Azarian 《Journal of Investigative Psychology & Offender Profiling》2018,15(2):215-226

The present article takes as its point of departure Perri's view, according to whom the impact of personality traits such as psychopathy and narcissism has unduly been omitted in research on white collar criminality. However, this article argues that although such factors have an important role to play in some cases when white collar criminals turn violent in order to prevent the detection of their felonies, they constitute neither the necessary nor the sufficient conditions for white collar criminals to commit murders. This means on the one hand that, although potentially increasing the risk for violence, these traits are not by themselves sufficient as the triggers of violent acts and can function so only under certain social‐contextual circumstances. However, such personality traits are not by themselves necessary, as there can be empirical cases of fraud detection murder committed by white collar criminals lacking them. This position is supported by both a logical analysis of Perri's main arguments and by empirical evidence, consisting of a few real‐life cases of Scandinavian white collar criminals who have “turned red.”  相似文献   

    

《British journal of psychology (London, England : 1953)》2017,108(3):453-466

There is a bias towards believing information is true rather than false. The Spinozan account claims there is an early, automatic bias towards believing. Only afterwards can people engage in an effortful re‐evaluation and disbelieve the information. Supporting this account, there is a greater bias towards believing information is true when under cognitive load. However, developing on the Adaptive Lie Detector (ALIED) theory, the informed Cartesian can equally explain this data. The account claims the bias under load is not evidence of automatic belief; rather, people are undecided, but if forced to guess they can rely on context information to make an informed judgement. The account predicts, and we found, that if people can explicitly indicate their uncertainty, there should be no bias towards believing because they are no longer required to guess. Thus, we conclude that belief formation can be better explained by an informed Cartesian account – an attempt to make an informed judgment under uncertainty.  相似文献   

    

Yoshie Kiritani  Yurina Komuro  Akane Okazaki  Ruriko Takano  Noriko Ookubo 《The Japanese psychological research》2017,59(4):288-300

Makeup can change facial complexion, making it of interest both practically and for empirical research on perception. We examined the assimilation effect of eye shadow on complexion using two series of eye shadows: typical colors that are not evenly saturated and colors with saturation as even as possible. Twenty participants assessed the degree of redness in reddish faces, yellowness in yellowish faces, and lightness in both faces via paired comparisons. The results indicated that: (a) the reddish face was perceived as redder when it had eye shadow of pinkish and purplish colors or reddish saturated colors instead of containing yellowish components; (b) the yellowish face became less yellow with colors without a greenish or yellowish component; and (c) except for the lighter yellowish shade, eye shadow made the face perceptually darker. We confirmed the assimilation effect of eye shadow on complexion and showed differences in perceptual hue change according to the original face colors.  相似文献   

    

Klara A. Lieberz  Sabine Windmann  Shawn N. Geniole  Cheryl M. McCormick  Meike Mueller‐Engelmann  Felix Gruener  Pia Bornefeld‐Ettmann  Regina Steil 《Aggressive behavior》2017,43(5):460-470

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《The British journal of developmental psychology》2017,35(3):439-453

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