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Journal Article
Hole-Filling Methods Using Depth and Color Information for Generating Multiview Images
- Authors
- Seung-Woo Nam, Kyung-Ho Jang, Yun-Ji Ban, Hye-Sun Kim, Sung-Il Chien
- Issue Date
- 2016-10
- Citation
- ETRI Journal, v.38, no.5, pp.996-1007
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- This paper presents new hole-filling methods for generating multiview images by using depth image based rendering (DIBR). Holes appear in a depth image captured from 3D sensors and in the multiview images rendered by DIBR. The holes are often found around the background regions of the images because the background is prone to occlusions by the foreground objects. Background-oriented priority and gradientoriented priority are also introduced to find the order of hole-filling after the DIBR process. In addition, to obtain a sample to fill the hole region, we propose the fusing of depth and color information to obtain a weighted sum of two patches for the depth (or rendered depth) images and a new distance measure to find the best-matched patch for the rendered color images. The conventional method produces jagged edges and a blurry phenomenon in the final results, whereas the proposed method can minimize them, which is quite important for high fidelity in stereo imaging. The experimental results show that, by reducing these errors, the proposed methods can significantly improve the hole-filling quality in the multiview images generated.
- KSP Keywords
- 3D sensors, Color images, Color information, Conventional methods, Foreground objects, High-fidelity, Hole filling, depth and color, depth-image-based rendering(DIBR), distance measure, multi-view images