近年來，隨著三維影像錄製與顯示技術的快速發展，使得立體雙視角影像製作越來越普及。其中，在影片後製程序中針對已拍攝完成之雙視角影像進行物件的三維立體效果調整是值得研究的議題。無論是降低物件的立體效果以減緩觀賞者視覺疲勞或是加強物件的立體效果以強調其臨場感，後製立體效果調整將是低成本、省時，及可行的方式。因此，本論文提出適用於雙視角影片之物件立體度調整系統，此系統可依據立體特效導演設定以達到不同的立體效果之調整。然而，依據視差與深度的關係調整立體效果時，物間邊緣可能會遺失資訊。因此，我們進一步提出立體影像修補演算法，有別於一般二維影像修補法，我們提出之立體修補演算法可利用深度資訊、視角間相關性及時域一致性而達到更好的修補結果。實驗結果證明本系統可同時達成立體度調整的目標並保留良好觀賞品質。此外，本系統可相容於其他物件切割與立體匹配演算法。

Recently, the developments of three-dimension (3D) capture and display techniques grow rapidly, which bring in mass production of stereoscopic 3D contents. The 3D effect adjustment for stereoscopic images in post processes is a worth exploring issue. We could reduce the 3D depth of an object to restrain viewer visual exhaustion, or increase the 3D depth of an object to achieve better 3D perception for 3D contents. The post processing of 3D effect becomes a low-cost, adjustable, and feasible solution. To achieve this purpose, we proposed a framework which can adjust the 3D effect of a specific object according to the preference of the 3D effect director. However, the disparity and depth adjustments of the object could inevitably cause the view incompletion and the temporal discontinuity. Hence, we proposed a stereoscopic inpainting algorithm which can change the depth information and keep stereoscopic consistency and temporal continuity to achieve better viewing performance. Simulation results show that the proposed framework can reach the target of the 3D effect adjustment and maintain the viewing quality simultaneously. Furthermore, the framework is also compatible to other stereo matching and object segmentation methods.

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