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Humans can recognise objects under partial occlusion. Machine-based approaches cannot reliably recognise objects and scenes in the presence of occlusion. This paper investigates the use of the elastic net hierarchical MAX (En-HMAX) model to handle occlusions. Our experiments show that the En-HMAX model achieves an accuracy of ∼70%, when ∼50% artificial occlusions are applied to the centre of the visual...
Touch input requires precise eye-hand coordination skills to be effective and efficient. In this work, we address touch input from the new perspective of understanding human vision and eye-hand coordination mechanisms in the fields of neurobiology and psychology, and we highlight implications of neurobiological and neurocognitive approaches of human vision for touch target acquisition on mobile devices...
In many-objective optimization, visualization of population in the high-dimensional objective space provides a critical understanding of the Pareto front. First, visualization throughout the evolutionary process can be exploited in developing effective many-objective evolutionary algorithms. Furthermore, visualization is a crucial component of multi-criteria decision making. By directly observing...
E-books have an advantage over printed books in that they allow users to read multiple books on a device such as a tablet or a smartphone. However, e-books also have drawbacks, such as the lack of book weight and of paper-like texture. This study proposes a method in which a user can read while experiencing the tactile sensations of book weight and paper feel through the superimposed display of an...
The integration of efficient supply technologies like electric heat pumps and combined-heat-and-power (CHP) plants into multi-energy-systems is of growing interest. However, typical off-the-shelf systems like CHP units and industrial heat pumps are characterized as single-degree-of-freedom systems, which means the interaction between electric and thermal power input/output is well-defined and cannot...
This research aims to study the neural influence of conflict between brand and product performance on consumer decision. In the experiment, stimuli of products with brand and performance information were displayed randomly. 22 subjects need to decide whether to buy, while the event-related potentials (ERPs) were recorded. The stimuli were divided into four conditions based on the consistency of brand...
The visual tasks consist in perception of presence (detection) of targets. If the luminance of the object to be detected is high enough to achieve 95% detection probability at a distance that is longer than the stopping distance of the vehicle accidents can be avoided. Two different target shapes that occur in road traffic situations are observed in a field study under different eccentricity angles...
By the nature of their physicality, conventional push-buttons provide raised edges and click feel that support localization and confirm actuation, even in the absence of vision. Though touchscreens augmented with modulated traction forces can render certain haptic cues, these cues are not sufficient to support many of the types of user interaction available through push-buttons. In this paper we introduce...
In view of the assembly process characteristic of non-silicon flat micro parts in MEMS devices, a micro assembly control system is developed based on an established experimental platform. According to the characteristics of the micro parts, micro parts recognition and positioning method is studied, and a new matching algorithm based on shape template is proposed, then an identification module has...
According to the influence of the stand spatial structure on the crown shape of Chinese fir, a new method of diversified 3D Chinese fir modeling based on spatial structure was proposed. In this study, spatial structure units that were divided by a reasonable method were selected in Chinese fir stands. And the data of spatial structure and crown shape in different units was surveyed. Two parameters...
In this paper, we address the problem of matching the shoes from the daily life photos to exactly the same shoes from online shops. The problem is extremely challenging because of the significant visual differences between street domain images (shoe images captured in the daily life scenario) and online domain photos (images from online shops taken in the controlled environment). This paper presents...
Object recognition or object's category recognition under varying conditions is one of the most astonishing capabilities of human visual system. The scientists in computer vision have been trying for decades to reproduce this ability by implementing algorithms and providing computers with appropriate tools. Hence, several intelligent systems have been proposed. To act in this field, numerous approaches...
Visual prosthesis based on penetrative optic nerve (ON) stimulation is an alternative approach to partially restore visual function. As one of the most important factors, pulse shape of electrical stimulus is a major consideration in the design of ON visual prosthesis. Animal experiments showed that the evoked responses in visual cortex (V1) to ON electrical stimulation are dependent on the stimulus...
Identification of intended movement type and movement phase of hand grasp shaping are critical features for the control of volitional neuroprosthetics. We demonstrate that neural dynamics during visually-guided imagined grasp shaping can encode intended movement. We apply Procrustes analysis and LASSO regression to achieve 72% accuracy (chance = 25%) in distinguishing between visually-guided imagined...
We present Random Forest, Support Vector Machine and Feedforward Neural Network models to classify 2519 variable star light curves. These light curves are generated from a reduction of non-survey optimized observational images gathered by wide-field cameras mounted on the Liverpool Telescope. We extract 16 features found to be highly informative in previous studies and achieve an area under the curve...
The shape and color of visual identity are the most important factors in the visualization of trademarks, which exert a far-reaching influence on the establishment of corporate image and brand image. Under the impact of globalization, brands have become a major factor in keeping a foothold in the consumer market, and sales are no longer limited to certain regions. Today's ideological trend of design...
As an attractive area of application in the sphere of cultural heritage, in recent years automatic analysis of ancient coins has been attracting an increasing amount of research attention from the computer vision community. Recent work has demonstrated that the existing state of the art performs extremely poorly when applied on images acquired in realistic conditions. One of the reasons behind this...
Segmentation of biomedical images is a challenging task, especially when there is low quality or missing data. The use of prior information can provide significant assistance for obtaining more accurate results. In this paper we propose a new approach for dendritic spine segmentation from microscopic images over time, which is motivated by incorporating shape information from previous time points...
This paper introduces a new kind of geometric graph, called the degree-sensitive neighbourhood graph (dNNG), for a more precise modelling of neighbourhoods. Based on dNNG, we define better shape-based metrics and then propose a neighbourhood-driven force-directed algorithm, called NEFO, for neighbourhood faithfulness. Our evaluation on both real-world and randomly generated graphs shows that the dNNG...
Introducing features that better represent the visual information of speakers during the speech production is still an open issue that highly affects the quality of the lip-reading and Audio Visual Speech Recognition (AVSR) tasks. In this paper, three different types of visual features from both the image-based and model-based ones are investigated inside a professional lip reading task. The simple...
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