![]() ![]() Our study presents a novel 2D-to-3D video conversion algorithm which can be adopted in a 3D image sensor. Generally, 2D image sensor and 2D-to-3D conversion chip can compose a 3D image sensor. 3D image sensors are a new method to produce stereoscopic video content conveniently and at a low cost, and can thus meet the urgent demand for 3D videos in the 3D entertaiment market. 3D entertainment is getting more and more popular and can be found in many contexts, such as TV and home gaming equipment. In this paper, we propose a novel 2D-to-3D video conversion method for 3D entertainment applications. Experimental results show that in subjective evaluation, the subjectively evaluated degree of satisfaction with the proposed method is approximately 7% greater than both existing commercial conversion software and state-of-the-art approach. The refinement process not only maintains global depth consistency by correcting non-uniform depth values but also enhances the visual stereoscopic effect. Then, the depth map is refined by locally modifying the depth values within the significance region. ![]() To obtain impressive visual effects, the viewer’s main focus is considered, and thus salient object detection is performed to explore the significance region for visual attention. However, stereoscopic effects of synthesized views obtained from this depth map are limited and dissatisfy viewers. Rather than retrieving a precise depth value for pixels from the depth cues, a direction angle of the image is estimated and then the depth gradient, in accordance with the direction angle, is integrated with superpixels to obtain the depth map. The linear and atmospheric perspective cues that compensate each other are employed to estimate depth information. This study introduces an image-based 2D-to-3D conversion system that provides significant stereoscopic visual effects for humans. ![]()
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