隨著立體液晶螢幕的技術逐漸進步，人們將不再需要配戴立體眼鏡即可透過螢幕欣賞立體影像。也有越來越多的研究放在如何將影片立體呈現。目前比較新的一種方式是一張原圖配合上對應的深度圖，再配合上立體螢幕的轉換，而使得我們觀看時產生立體感。
本論文將利用同質性的概念來對輸入影像做處理，產生對應的同質邊緣圖，再配合上動態輪廓演算法對影像分割，接著配合影像中一些可以參考相對深度的線索來給定影像深度，另外為了給定影像深度，本論文另外提出了一個深度給定系統，能幫助使用者輕易的給定深度，達成2D轉3D立體化的目標。

After availability of 3D LCD display systems, people can perceive stereo images without wearing any special 3D glasses. There are many researches focused on 2D to 3D video generations due to lack of 3D video contents. The common 2D to 3D conversion technique first performs the depth map estimation and then transfers the original image associated with the estimated depth information into multiview images. Finally, people can preceive autostereoscopic scenes through 3D displays.
In this thesis, we propose the concept of homogeneity to generate the homogeneous edge map of input images. We then extract the active contour by using Snake algorithm to homogeneous edge map such that we can robustly segment the desired objects from the input images. Finally, we can assign depth by using some prompts depending on the specified objects in the images. In addition, we also implement a depth assignment system which can help the users to assign depth image of single-veiw images effectively. By using the depth map generation system with the proposed techniques, we can achieve 2D to 3D image conversion easily.

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