Objective Evaluation Criteria for Stereo Camera Shooting Quality Under Different Shooting Parameters and Shooting Distances

Yang, Jiachen; Liu, Yun; Meng, Qinggang; Chu, Rongrong

doi:10.1109/jsen.2015.2421518

Cited by 19 publications

(9 citation statements)

References 43 publications

(50 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SVBL 3D IQA Database contains 360 distorted stereopairs and 30 original stereopairs. Each stereoscopic image in this database has been evaluated by human subjects, and assigned a quantitative subjective quality score [74].…”

Section: Stereoscopic Image Quality Databasementioning

confidence: 99%

See 1 more Smart Citation

Stereoscopic image quality assessment method based on binocular combination saliency model

et al. 2016

Self Cite

View full text Add to dashboard Cite

Section: Stereoscopic Image Quality Databasementioning

confidence: 99%

“…However, it also brings us many new issues and challenges [1] [2] [3]. During the process of stereoscopic content creation, transmission, processing and display, various distortions that affect the quality perception may be introduced [4].…”

Section: Introductionmentioning

confidence: 99%

Stereoscopic image quality assessment method based on binocular combination saliency model

et al. 2016

Self Cite

View full text Add to dashboard Cite

“…[57]) to include many asymmetric stereo images. In our recent work [54], we proposed an evaluation criteria for stereo camera shooting quality. All reference stereopairs we shot for our database followed our criteria to make sure all of our reference stereopairs are of a good quality.…”

Section: Impacts Of the Disparity Algorithmsmentioning

confidence: 99%

Quality assessment metric of stereo images considering cyclopean integration and visual saliency

Yang

Wang

et al. 2016

Information Sciences

Self Cite

View full text Add to dashboard Cite

Citation: YANG, J. ... et al, 2016. Quality assessment metric of stereo images considering cyclopean integration and visual saliency.Information Sciences, 373, Additional Information:• This paper was accepted for publication in the journal Informa- AbstractIn recent years, there has been great progress in the wider use of threedimensional (3D) technologies. With increasing sources of 3D content, a useful tool is needed to evaluate the perceived quality of the 3D videos/images. This paper puts forward a framework to evaluate the quality of stereoscopic images contaminated by possible symmetric or asymmetric distortions. Human visual system (HVS)studies reveal that binocular combination models and visual saliency are the two key factors for the stereoscopic image quality assessment (SIQA) metric. Therefore inspired by such findings in HVS, this paper proposes a novel saliency map in SIQA metric for the cyclopean image called "cyclopean saliency", which avoids complex calculations and produces good results in detecting saliency regions. Moreover, experimental results show that our metric significantly outperforms conventional 2D quality metrics and yields higher correlations with human subjective judg- * Corresponding author ment than the state-of-art SIQA metrics. 3D saliency performance is also compared with "cyclopean saliency" in SIQA. It is noticed that the proposed metric is applicable to both symmetric and asymmetric distortions. It can thus be concluded that the proposed SIQA metric can provide an effective evaluation tool to assess stereoscopic image quality.

show abstract

“…Firstly, the weight of teaching quality evaluation index is determine using AHP, and screening is conducted based on weights so as to obtain five indicators of teaching purposes [13], teaching tools and means; processing of difficult and focal points; completion of teaching plan; students' grasp of teaching content and so on. Then, normalization processing of these five indicators is carried out, and the normalized data and the actual results of the evaluation are formed into a new data set [14].…”

Section: Model Implementationmentioning

confidence: 99%

The Evaluation Model of "Sunshine" Sports Based on Fuzzy AHP in University

Ma¹,

Ding²

2015

TOCSJ

View full text Add to dashboard Cite

Teaching quality evaluation system is a multi-level and multi-target complex issue, with numerous evaluation indexes, and to take all evaluation indexes as input of neural network would cause complex structure of neural network, thus affecting the performance of teaching quality evaluation system. This paper has proposed a teaching quality evaluation method based on AHP-BPNN. Firstly, the AHP is used to sort importance of evaluation index system, and then indicators that have an important impact on evaluation results are filtered out as input of BPNN, and finally, evaluation model is established using NN. Simulation experiment is made in the case of "Data Structure" in Fuyang Normal College, and the simulation results show that, AHP-BPNN not only simplifies the structure of the neural network, but also improves the evaluation accuracy and efficiency of the teaching quality, thus it is a feasible and effective method of teaching quality evaluation.

show abstract

Objective Evaluation Criteria for Stereo Camera Shooting Quality Under Different Shooting Parameters and Shooting Distances

Cited by 19 publications

References 43 publications

Stereoscopic image quality assessment method based on binocular combination saliency model

Stereoscopic image quality assessment method based on binocular combination saliency model

Quality assessment metric of stereo images considering cyclopean integration and visual saliency

The Evaluation Model of "Sunshine" Sports Based on Fuzzy AHP in University

Contact Info

Product

Resources

About