由於立體視覺技術能夠提供人們多元的體驗，因此立體視覺技術越來越受到歡迎，也被廣泛運用在不同的層面，其中裸眼三維立體顯示，除了提供使用者身歷其境的經驗之外，也不須具備特殊穿戴設備，並能夠讓使用者更加輕易體驗立體視覺。目前網際網路上，有許多使用者運用wiggle stereoscopy的方式來呈現照片，但若影像內容本身沒有很好的調適，立體效果的感知是很有限的。
本研究提供平滑裸眼三維立體顯示，模擬人眼在相同位置改變視角所看到的景象，透過移動視差(motion parallax)提供影像深度資訊[1]，並在影像序列的影像內插(view interpolation)所產生出的雜訊，如：模糊、殘影，做出適當的修補，另外加入人類視覺系統的考量，找出聚焦點，使裸眼三維立體顯示的效果更為真實。系統一開始分析一對立體影像，使用Changjae Oh 等學者[5]所提出的立體影像匹配技術 “Probabilistic Correspondence Matching using Random Walk with Restart ”，可以得到視差圖(disparity map)，接著針對前者錯誤的匹配點進行修補，利用修補完的視差圖，進行渲染檢查，可以減少影像的模糊以及殘影的產生，最後利用影像視覺特徵圖(saliency map)，找出人眼聚焦點，對影像做對齊。

As the techniques in stereo vision can provide user diversity experience, it becomes more popular now, and can also be used in various fields. One of these techniques called multi-view autostereoscopic display. It provides user immersive experience. In addition, it does not need any wearable device to achieve three-dimensional effect. This technique provides an easier way for amateur users. Currently there are many creations of wiggle stereoscopy, and the creation can be shared easily. However, if the image content is not processed properly, the stereoscopic effect cannot be shown very well.

This paper proposes a flat automultiscopic display by simulating the views where a person should see with different viewing angles for a fixed position. Motion parallax provides the depth cue from images[1]. Given an image sequence we make some rectification to remove artifacts like motion blur and stereo 3D ghosting. Also we take a human visual system into account to enhance automultiscopic displays’ effect. Our system adopts the idea of Changjae Oh et al[5]. Utilize “Probabilistic Correspondence Matching using Random Walk with Restart”. Once we get the disparity map, we repair the invalid region which contain error matching in the disparity map, and do the rendering check, so that we can reduce image blur and stereo 3D ghosting. At last, we using saliency map to decide fixation of human vision and make image alignment.

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