15 December 2016 Depth estimation algorithm based on data-driven approach and depth cues for stereo conversion in three-dimensional displays
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Abstract
With the advances in three-dimensional (3-D) display technology, stereo conversion has attracted much attention as it can alleviate the problem of stereoscopic content shortage. In two-dimensional (2-D) to 3-D conversion, the most difficult and challenging problem is depth estimation from a single image. In order to recover a perceptually plausible depth map from a single image, a depth estimation algorithm based on a data-driven method and depth cues is presented. Based on the human visual system mechanism, which is sensitive to the foreground object, this study classifies the image into one of two classes, i.e., nonobject image and object image, and then leverages different strategies on the basis of image type. The proposed strategies efficiently extract the depth information from different images. Moreover, depth image-based rendering technology is utilized to generate stereoscopic views by combining 2-D images with their depth maps. The proposed method is also suitable for 2-D to 3-D video conversion. Qualitative and quantitative evaluation results demonstrate that the proposed depth estimation algorithm is very effective for generating stereoscopic content and producing visually pleasing and realistic 3-D views.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Huihui Xu, Huihui Xu, Mingyan Jiang, Mingyan Jiang, Fei Li, Fei Li, } "Depth estimation algorithm based on data-driven approach and depth cues for stereo conversion in three-dimensional displays," Optical Engineering 55(12), 123106 (15 December 2016). https://doi.org/10.1117/1.OE.55.12.123106 . Submission:
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