Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/7126
標題: 深度圖之放大與精煉之研究
A study on depth up-sampling and refinement
作者: 李乾鼎
Li, Chien-Ting
關鍵字: depth map;深度圖;up-sampling;上取樣
出版社: 電機工程學系所
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Suzuki, “Improvement of Depth Map Estimation and View synthesis for FTV/3DV,” ISO/IEC JTC1/SC29/WG11, M15090, 2008 [12] Wen, P.Z.; Wu, X.J.; Huang, W.M.; Ren, R.H. , "An Image Warping Method Based on Level Set,” International Congress on Image and Signal Processing, pp.1-5, 2009 [13] D. Ruprecht and H. Muller, “Image warping with scattered data interpolation methods,” IEEE Computer Graphics and Applications, pp. 37-43, 1995. [14] D. Reisfeld, N. Arad and N. Dyn N. et al. “Image warping by radial basis functions: application to facial expression,” Graphical Models and Image Processing, pp. 161-172, 1994. [15] N. Arad and D. Reisfeld, “Image warping using few anchor points and radial functions,” Computer Graphics Forum, pp. 35-46, 1995. [16] X.D. Li and Z.Y. Zhang, “Boundary stabilized image morphing with asymmetrical radial basis functions,” Journal of Computer-Aided Design & Computer Graphics, pp. 747- 752, 2004 [17] C. A. Glasbey and K. V. Mardia, “A review of image warping methods,” J. Appl. Stat, vol. 25, pp.155 , 1998. [18] C. Tomasi and R. Manduchi, “Bilateral Filtering for Gray and Color Images,” Proc. Sixth Int''l Conf. Computer Vision, pp. 839-846, Jan. 1998 [19] A. Redert, M. Op de Beeck, C. Fehn, W. IJsselsteijn, M. Pollefeys, L. Van Gool, E. Ofek, I. Sexton, and P. Surman, “ATTEST—advanced three-dimensional television system techniques,” in Proc. 3DPVT, pp. 313-319, 2002 [20] J. Flack, P. Harman, and S. Fox, “Low bandwidth stereoscopic image encoding and transmission,” Proc. SPIE Conference on Stereoscopic Displays and Virtual Reality Systems X, vol. 5006, pp. 206-214. 2003 [21] C. Fehn, “Depth-image-based rendering (DIBR), compression and transmission for a new approach on 3D-TV,” Proc. SPIE Conf. Stereoscopic Displays and Virtual Reality Systems XI, vol. 5291, pp. 93-104, 2004, [22] M. Ziegler, L. Falkenhagen, R. Horst, and D. Kalivas, “Evolution of stereoscopic and three-dimensional video,” Signal Processing: Image Communication, vol. 14, pp. 173-194, 1998. [23] Y. Luo, Z. Zhang, and P. An, “Stereo video coding based on frame estimation and interpolation,” IEEE Trans. Broadcast, vol. 49, no. 1, pp.14-21, 2003 [24] H. Mitsumine, H. Noguchi, K. Enami, Y. Ninomiya, Y. Yamanoue, S. Yano, A.Hanazato, and M. Okui, “Virtual Museum-3-D fine art appreciation system,” IEEE Trans. Broadcast, vol. 42, no. 3, pp. 200-207, 1996 [25] J. Shade, S. Gortler, L. He, and R. Szeliski,“Layered depth image,” Proc. SIGGRAPH'98, pp. 231-242, 1998 [26] Chung J. Kuo, Ching Liao, and Ching C. Jin, “Stereoscopic image generation based on depth images,” ICIP, Singapore, pp. 2993-2996,2004 [27] Qi Shan, Zhaorong Li, Jiaya Jia and Chi-Keung Tang, “Fast Image/Video Upsampling,” ACM Transactions on Graphics - Proceedings of ACM SIGGRAPH Asia,vol. 27, Issue 5, 2008 [28] R. FATTAL, “Image upsampling via imposed edges statistics,” ACM Transactions on Graphics (Proceedings of SIGGRAPH), 2007 [29] W.T. Freeman, T.R. Jones, and E.C. Pasztor, “Example-Based Super-Resolution,” IEEE Computer Graphics and Applications, vol. 22, no. 2, pp. 56-65, 2002. [30] W.R. Mark et al., "Post-Rendering 3D Warping", Proc. 1997 Symp. Interactive 3D Graphics, ACM Press, pp. 7-16, 1997 [31] Shu-Jyuan Lin, Dr. Shang-Hong Lai “Spatial-Temporally Consistent Multi-View Video Synthesis for Autostereoscopic Display,” Proceeding PCM ''09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing, 2009 [32] http://broadcastengineering.com/mag/broadcasting_applied_technology_dv/
摘要: 
於本論文,我們提出一個方法先內插修正深度圖的大小,之後利用最大後項機率來精煉深度圖。方法分成兩的部分,影像前置處理以及深度圖精煉。在前置處理部份,在深度圖精煉的部分,我們將彩色影像以及深度圖調成相同的解析度,之後再利用最大後項機率同時考慮色彩、空間以及時間上的資訊來進行精煉的動作。由實驗結果來看,我們的方法可以得到比低通濾波或是中值濾波等傳統方法還要好的結果。

In this thesis, we develop a method to interpolate the depth and then refine the depth sequence based on maximum apriori probability. The proposed method is composed of two parts: pre-processing and depth refinement. In the pre processing, we align the color images and the depth sequence. In the depth refinement, we enlarge the size of the depth sequence and then refine the depth values. To refine the depth value, we simultaneously consider the color, spatial, and temporal information by using
maximum apriori probability. Experimental results show that the proposed depth refinement method can function well compared with traditional methods such as low-pass filtering and median filtering.
URI: http://hdl.handle.net/11455/7126
其他識別: U0005-2607201116500100
Appears in Collections:電機工程學系所

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