Poster

Image Quality Evaluation of 3D CG Images with 8 Viewpoints Lenticular Lens Method

Authors:
To read the file of this research, you can request a copy directly from the authors.

Abstract

These days, we have a good chance to watch 3D movies at home or movie theater. However, there is various form of stereogram or display style, and these haven’t ever unified officially yet. In addition, there is no standardization for evaluating objective video quality of 3D movies. For constructing a better viewing environment, a suitable viewing condition about the presence, depth, and nature of the stereoscopic vision should be known. In this paper, in order to find out the viewing conditions better, we experimented image quality evaluation of 3D CG images with 8 viewpoints lenticular lens method, and considered in detail.

No file available

Request Full-text Paper PDF

To read the file of this research,
you can request a copy directly from the authors.

Article
Recently, the use of 3D video systems without glasses has increased, and therefore 3D image quality and presence evaluation is important. There are various stereo-logical image quality evaluation methods for multi-view 3D systems without glasses. However, there is no uniform method for evaluating 3D video systems. In this study, we focus on camera interval and JPEG coding degradation with a multi-view 3D system. Previously, many studies have examined camera interval or JPEG coding degradation with 3D glasses or the binocular method. In such systems, viewers perceive stereoscopic and depth effects. Moreover, they can see from different angles, increasing viewpoints with multi-view 3D systems. However, viewers feel discomfort when changing their viewpoint. Hence, we consider, in particular, the accommodation of the camera interval and JPEG coding degradation while changing viewpoints. We have performed subjective evaluations using the absolute category rating system to assess the effects of changing the camera interval of 3D CG images or video content using an 8 viewpoint lenticular lens method. We measure assessors' ability to identify the degree of the camera interval. We analyze the results of our subjective evaluations statistically and discuss the results. Using the optimal camera interval, we perform a subjective quality evaluation employing the double stimulus impairment scale to determine assessors' ability to identify JPEG coding degradation by degree. The experimental results of this subjective evaluation are also statistically analyzed.
Presentation
Recently, we are able to watch 3D videos or movies increasingly without glasses. However, they are various stereological and evaluation methods for multi-view 3D with no glasses for image quality, and their display methods are not unified. In this paper, we showed 3D CG images with 8 viewpoints lenticular lens method by ACR and DSIS methods, when we analyzed the results statistically with subjective evaluation. The experiment examined whether or not assessor were able to comfortable view the images by degree of camera’s interval and viewpoints, and whether or not they perceive or annoy degree of coded degradation at certain viewpoints.
ResearchGate has not been able to resolve any references for this publication.