Virtual view synthesis method and self-evaluation metrics for free viewpoint television and 3D video

2010 ◽  
Vol 20 (4) ◽  
pp. 378-390 ◽  
Author(s):  
Kwan-Jung Oh ◽  
Sehoon Yea ◽  
Anthony Vetro ◽  
Yo-Sung Ho
Keyword(s):  
Synthesis Method ◽  
3D Video ◽  
View Synthesis ◽  
Evaluation Metrics ◽  
Self Evaluation ◽  
Virtual View Synthesis ◽  
Virtual View

Virtual View Synthesis Based on Asymmetric Bidirectional DIBR for 3D Video and Free Viewpoint Video

2020 ◽  
Vol 10 (5) ◽  
pp. 1562 ◽  
Author(s):  
Xiaodong Chen ◽  
Haitao Liang ◽  
Huaiyuan Xu ◽  
Siyu Ren ◽  
Huaiyu Cai ◽  
...  
Keyword(s):  
Computational Cost ◽  
Depth Estimation ◽  
Objective Evaluation ◽  
3D Video ◽  
View Synthesis ◽  
Depth Image ◽  
Estimation Errors ◽  
Virtual View Synthesis ◽  
Virtual View ◽  
Free Viewpoint Video

Depth image-based rendering (DIBR) plays an important role in 3D video and free viewpoint video synthesis. However, artifacts might occur in the synthesized view due to viewpoint changes and stereo depth estimation errors. Holes are usually out-of-field regions and disocclusions, and filling them appropriately becomes a challenge. In this paper, a virtual view synthesis approach based on asymmetric bidirectional DIBR is proposed. A depth image preprocessing method is applied to detect and correct unreliable depth values around the foreground edges. For the primary view, all pixels are warped to the virtual view by the modified DIBR method. For the auxiliary view, only the selected regions are warped, which contain the contents that are not visible in the primary view. This approach reduces the computational cost and prevents irrelevant foreground pixels from being warped to the holes. During the merging process, a color correction approach is introduced to make the result appear more natural. In addition, a depth-guided inpainting method is proposed to handle the remaining holes in the merged image. Experimental results show that, compared with bidirectional DIBR, the proposed rendering method can reduce about 37% rendering time and achieve 97% hole reduction. In terms of visual quality and objective evaluation, our approach performs better than the previous methods.

scholarly journals Fast Hole Filling for View Synthesis in Free Viewpoint Video

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 906
Author(s):  
Hui-Yu Huang ◽  
Shao-Yu Huang
Keyword(s):  
Median Filter ◽  
Synthesis Method ◽  
Depth Map ◽  
View Synthesis ◽  
Depth Image ◽  
Virtual View Synthesis ◽  
Virtual View ◽  
Recent Emergence ◽  
The World ◽  
3D Content

The recent emergence of three-dimensional (3D) movies and 3D television (TV) indicates an increasing interest in 3D content. Stereoscopic displays have enabled visual experiences to be enhanced, allowing the world to be viewed in 3D. Virtual view synthesis is the key technology to present 3D content, and depth image-based rendering (DIBR) is a classic virtual view synthesis method. With a texture image and its corresponding depth map, a virtual view can be generated using the DIBR technique. The depth and camera parameters are used to project the entire pixel in the image to the 3D world coordinate system. The results in the world coordinates are then reprojected into the virtual view, based on 3D warping. However, these projections will result in cracks (holes). Hence, we herein propose a new method of DIBR for free viewpoint videos to solve the hole problem due to these projection processes. First, the depth map is preprocessed to reduce the number of holes, which does not produce large-scale geometric distortions; subsequently, improved 3D warping projection is performed collectively to create the virtual view. A median filter is used to filter the hole regions in the virtual view, followed by 3D inverse warping blending to remove the holes. Next, brightness adjustment and adaptive image blending are performed. Finally, the synthesized virtual view is obtained using the inpainting method. Experimental results verify that our proposed method can produce a pleasant visibility of the synthetized virtual view, maintain a high peak signal-to-noise ratio (PSNR) value, and efficiently decrease execution time compared with state-of-the-art methods.

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