隨著多視點立體顯示器技術的進步，多視點立體顯示的應用也越來越普及。多視點立體顯示器可以提供觀賞者雙眼不同的影像進而產生立體感。而深度影像繪圖法（depth-image-based rendering、DIBR）只需要一張來源彩色影像及其相對應的深度影像便能夠有效率地產生新視點的影像。
本篇論文對 DIBR 中影像點重新取樣機制作了仔細的討論與分析，並透過數學驗證推導出一個適用於不同立體顯示器之重新取樣位移公式。同時在位移公式中引入深度轉換的步驟，並且以視點平行運算為考量提出一個可硬體化的模組架構。最後針對這個可硬體化的模組架構，我們提出一對照表（lookup table）來降低運算的時間，同時也維持未來演算法修改的彈性。

With the improvement in 3D display technology, multi-view 3D displays are getting popular in the near future. 3D displays provide two different images for each user to form a three-dimensional scene. Depth-image-based rendering (DIBR) can be used to generate images for different viewpoints by using only a color image with the corresponding depth map.
In this thesis, we analyze the pixel re-sampling mechanism in DIBR. We develop the pixel shifting formula, which is used to do pixel re-sampling, and make it applicable to different 3D displays. We also introduce a depth transformation into the shifting formula, and propose a hardware module aiming at parallel computing the multi-view images. As a result, a lookup table design which simplifies the need for expensive computation hardware is proposed.

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