RETRACTED ARTICLE: Quality assessment for virtual reality technology based on real scene

Jiang, Bin; Yang, Jiachen; Jiang, Na; Lv, Zhihan; Meng, Qinggang

doi:10.1007/s00521-016-2828-0

Cited by 15 publications

(7 citation statements)

References 42 publications

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“…Over the last few decades, many researches, conducted on interactions between the physical characteristics of a landscape and the psychological responses of those landscape recipients, has proved that streetscape photographs [4,5] or Virtual Reality [6][7][8] used in place of actual landscapes were considered a valid medium for such researches. Qiu [9] analyzed the relationship between subjective/objective perceptions on streetscapes and the percentage increase in sales price by using visual preference evaluations of 300 street view photos in the experiment.…”

Section: Methods Of Visual Preference Evaluations For Urban Environmentmentioning

confidence: 99%

Visual preferences for outdoor space along commercial pedestrian streets under the influence of plant characteristics

Huang

Han

2022

PLoS ONE

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Chinese commercial pedestrian streets have developed rapidly in recent years. However, people’s preferences were not sufficiently considered and reflected in the outdoor space and landscape design. With the outdoor landscapes along commercial pedestrian streets in the region south of the Five Ridges as the research objects, this study revealed the public’s different preference evaluations of the landscapes under the reciprocal effects of street characteristics. The main results were as follows: (a) When arcade spaces were available, people prefer streets with taller trees and a lower planting density (50 plants/km or less). Conversely, they preferred streets with relatively low trees (3–6 m), a higher planting density (100–200 plants/km) and two or more vertical layers of plants. People did not like the way that plants are lined in the middle of a street. (b) When there were only one or two types of signage hanging, people preferred streets with a moderate planting density (50–100 plants/km); and there were three or more types of signage hanging, people preferred the plants with low linear density (50 plants/km or less) and that were arranged along one or two sides of the street. (c) When benches were available, people preferred streets with plants on one or both sides, fewer plant colours (one or two kind of colours) and better plant growth status. Specifically, the richer the vertical structure and the bigger number of colours were, the higher the preference score. This study provided design schemes to enhance the visual quality of landscapes by improving landscape characteristics in similar outdoor spaces.

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Section: Methods Of Visual Preference Evaluations For Urban Environmentmentioning

confidence: 99%

Visual preferences for outdoor space along commercial pedestrian streets under the influence of plant characteristics

Huang

Han

2022

PLoS ONE

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“…We should consider that the experience in VR will be as rewarding for users as the quality of the contents made available (Chen, Jin, Goodall, Yu, & Bovik, 2019;Jiang, Yang, Jiang, Lv, & Meng, 2018), as well as the ease of interaction that the system provides (Murthy, 2020).…”

Section: ____________________________________________________________...mentioning

confidence: 99%

Leveraging the Promotion of Tourist Destinations and the Interpretation of their Heritage using Virtual Reality

Cunha¹,

Mendonça²,

Gomes³

et al. 2022

JIBBP

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Technology is increasingly a transversal layer to all activities and, in this sense, exploring the potential of technology as a driver to support the competitiveness of organizations and nations has become a necessity for survival. Tourism is a fundamental asset in many modern economies and certainly fundamental from a civilizational and generational point of view, insofar as associated with a wide range of tourist destinations is its heritage.

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“…with f GSD , f GC , f HOG , f SSIM , f IC , and f PSNR being the features vectors of GSD, GC, histogram of oriented gradient (HOG), IC, SSIM, and PSNR [33], respectively. Note that, the larger value of Eq.…”

Section: ) Deep Evaluator Based On Stacked Auto Encodermentioning

confidence: 99%

Finger-Vein Image Enhancement Based on Pulse Coupled Neural Network

Lei

Chen

2019

IEEE Access

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As a promising biometric technique, the finger-vein image recognition has seen a recent surge of interest. However, the collected finger-vein images are often degraded seriously because of various vein patterns, uneven illumination, and unsatisfied sensor conditions. This makes vein representations unreliable and inevitably impairs recognition accuracy. In this paper, a new model based on the pulse coupled neural network (PCNN) is proposed to enhance finger-vein image quality, and further to improve the reliability of image recognition. First, a simplified PCNN model for finger-vein image enhancement is proposed to reduce computational complexity. Then, a new parameter setting scheme is developed to automatically adjust the parameters in the present PCNN model, without involving any empirical correlations or training. Finally, extensive experiments are carried out, and the performance of the proposed PCNN model is evaluated by calculating four metrics, including the gradient in the spatial domain (GSG), the gray contrast (GC), the information capacity (IC), and the deep evaluator based on the stacked auto encoder (DESAE). The results have verified the capability and reliability of the presented PCNN model as well as the parameter setting scheme in finger-vein image enhancement. In addition, the enhanced finger-vein images by the present PCNN model have been shown to be able to improve the recognition accuracy significantly.INDEX TERMS Pulse coupled neural network, finger vein, automatic parameter setting, image enhancement.

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RETRACTED ARTICLE: Quality assessment for virtual reality technology based on real scene

Cited by 15 publications

References 42 publications

Visual preferences for outdoor space along commercial pedestrian streets under the influence of plant characteristics

Visual preferences for outdoor space along commercial pedestrian streets under the influence of plant characteristics

Leveraging the Promotion of Tourist Destinations and the Interpretation of their Heritage using Virtual Reality

Finger-Vein Image Enhancement Based on Pulse Coupled Neural Network

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