基于SIFT匹配的多视点立体图像零视差调整

Zero-disparity adjustment of multiview stereoscopic images based on SIFT matching

针对多视点自由立体显示系统,提出一种基于SIFT匹配的平行多视点立体图像零视差调整方法。首先,通过SIFT变换提取图像特征关键点、对特征关键点进行匹配,获得精确匹配点。然后,运用频率调和显著性模型计算场景的视觉显著性、提取显著性掩膜,以筛选匹配点作为零视差调整的关键点。最后,依据SIFT匹配点计算视点间视差值,并基于视差调整原理对多视点立体图像进行零视差调整。实验结果表明,所提出的方法适合多视点自由立体显示系统,零视差调整后的多视点立体图像具有良好的自由立体显示效果。

A zero-disparity adjustment method based on SIFT matching was proposed for multiview stereoscopic images using in autostereoscopic display system. First, SIFT was introduced for pixel matching between adjacent views. Then, the result of SIFT matching was filtered by saliency mask which was extracted using frequency-tuned saliency model, and the key-point of disparity control was selected.Finally, the disparity between the neighboring views was computed based on SIFT matching points, and zero-disparity adjustment was conducted based on the principle of disparity control. The disparity of selected key-point was adjusted to zero. Experimental results demonstrate that the proposed method can effectively adjust the disparity of multiview stereoscopic images and generate vivid and comfortable 3D scenes for autostereoscopic display.