從2014年美國消費性電子展(CES)的展出中，超高解析度(3840x2160)已經成為下一代螢幕的主流解析度，搭配裸眼立體顯示器不需配戴眼鏡即可瀏覽多視角立體影像的觀賞模式，能夠給予人們更舒適的視聽環境，因此超高解析度的裸眼立體顯示器被視為下一個世代的主流立體顯示技術。本論文旨在提出一個支援超高解析度和符合多樣性立體螢幕的即時視訊撥放系統，這個系統以深度繪圖演算法為基礎，開發一個適應性多視角合成系統，透過不同的樣板影像輔助可將一單視角單深度視訊接近即時合成出符合各種顯示輸出的多視角合成影像。另外本系統除有根據人因實驗之3D設定外，亦可以隨時根據使用者的喜好調整立體顯像效果，提供更多3D效果的觀賞選擇。

The naked-eye 3D display provides a revolution of vision experiences, compared to traditional stereo displays: audiences can enjoy more comfortable and unrestricted environment for multi-view 3D entertainment without the support of stereo glasses, therefore the naked-eye display is considered as a powerful and potential 3D displaying technique in the future. Due to the shortage of the native source for ultra HD multi-view displays, efficiently converting the conventional 2D color image with the depth information to the exact pattern that the auto-stereo display utilizes is a challenging research topic. The goal of this thesis is to build a near real-time system which could synthesize multi-view 3D images satisfying a variety of stereo displays; the proposed system modifies a template-based adaptive multi-view rendering ( TAMR ) algorithm to fit the ultra HD screen size. The system gives the initial 3D setting after an experiment of human factors, however, it can adjust 3D effects according to viewer’s demand immediately.

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