"阿是穴”是一種經常被使用於解除局部疼痛療程上的一種穴位名稱。經由適當的刺激按壓阿是穴，將有效的幫助減輕該部位所引發的不適。在本論文中，我們開發了一套ECMET演算法用於定位人體背部上的阿是穴在立體空間上之位置。該演算法應用了極線幾何和人體背部輪廓邊緣之條件與限制去尋找兩張影像之間其背部輪廓邊緣特徵點的對應點，並且間接地經由這些對應邊緣特徵點所組成的對應三角形與其三角形質心座標技巧與相關條件的應用去尋找使用者標示的阿是穴其於兩張影像的對應點位置。最後再利用所找尋到的對應點與計算出來的相機參數去重建出該阿是穴位於立體空間上的位置。此方法已實作應用於一台視訊按摩機上，並經由在該機器上各種不同實驗後的結果可以發現使用本論文所開發出的演算法，不只能夠有效率的重建立體阿是穴位置，其定位的準確度更是相較於傳統中醫之定位方法高出許多。

The Ashi point is one kind of Acupoint, which is usually selected for treatment of local pain. By appropriately pressing Ashi point, it will effectively relieve someone’s discomfort. In this thesis, we develop the Epipolar based Correspondences Matching from Edge contour and Triangle barycentric (ECMET) algorithm for 3D Ashi point localization of back on the vision-based massage machine. The ECMET algorithm applies epipolar geometry and the edge contour constraints of user’s body to find the correspondence of edge points between two images of back. Based on edge points and their correspondences, corresponding triangle pairs are identified. Then the triangle barycentric coordinate scheme is employed to find the correspondences of identified Ashi points with corresponding triangle pairs. Therefore, the 3D positions of Ashi points can be reconstructed from the correspondences of Ashi points and two camera poses. This method has been realized in a massage system, and the experimental results show that the reconstructed 3D positions of Ashi points obtained by this approach can achieve a higher admission rate than that applied in Traditional Chinese Medicine for all experiments.

[1] Chang MY, Wang SY, Chen CH, “Effects of massage on pain and anxiety during labour: a randomized controlled trial in Taiwan”, Journal of Advanced Nursing 2002, Apr;38(1):68-73.

[2] Cheng Xinnong: Chinese Acupuncture and Moxibustion. Bejing: Foreign Languages Press; 1999.

[3] Daniel DeMenthon, "Model-Based Object Pose in 25 Lines of Code" IJCV 15, pp. 123-141, 1995

[4] Jen-Shiang Lin, and Pau-Choo Chung, “Acupoint Localization from Video Images”, National Cheng Kung University, 2009.

[5] D. Chai, K.N. Ngan, “Locating Facial Region of a Head-and-Shoulders Color Image”, IEEE FG,1998

[6] J. Pilet, V. Lepetit, and P. Fua, “Real-time nonrigid surface detection”, Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 1, pp. 822-828, 2005

[7] J. Pilet, V. Lepetit, and P. Fua, “Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation”, International Journal of Computer Vision, vol. 76, pp. 109-122, 2008

[8] Hartley R.I.,&Zisserman A., “Multiple View Geometry in Computer Vision”, Cambridge University press, 2000

[9] Hernandez-Reif M, Field T, Krasnegor J, Theakston H., “Lower back pain is reduced and range of motion increased after massage therapy”, International Journal of Neuroscience, 2001, 106, 131-145.

[10] M. A. Fischler, R. C. “Bolles. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.” , Comm. of the ACM, Vol 24, pp 381-395, 1981.

[11] P. Kakumanu, S. Makrogiannis, and N. Bourbakis, “A survey of skin-color modeling and detection methods”, Pattern Recognition, vol. 40, pp. 1106-1122, 2007

[12] Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing (2nd Edition)”, Prentice Hall, 2002

[13] YL Vessel, G Meridian - Journal of Acupuncture and Tuina Science, 2003, Vol.1, No.2

[14] Z.Zhang:, “A Flexible New Technique for Camera Calibration”, Microsoft Research. Aug.2002.

[15] J Zhang, Y Wu, “Clinical study on treatment of myofascial pain syndrome with Ashi point”, Journal of Acupuncture and Tuina Science, 2008

[16] Aird M, Cobbin DM, Rogers C., “A study of the relative precision of acupoint location methods.”, J Altern Complement Med. 2002 Oct;8(5):635-42.

[17] P Li, J Cheng, R Yuan, W Zha, “Robust 3D Marker Localization Using Multi-spectrum Sequences”, ISVC (2) 2009: 529-537

[18] G Wen, Z Wang, S Xia, D Zhu,” From motion capture data to character animation”, Proceedings of the ACM symposium on Virtual reality software and technology, pp.165-168, 2006

[19] Maruyama, K. Oka, K. Takase, R. Kawai, Y. Yoshimi, T. Takahashi, H. Tomita, F. ,” 3D localization of partially buried object in unstructured environment”, Pattern Recognition, 2008. ICPR 2008. 19th International Conference

[20] L. Zhang, N. Subramaniam, R. Lin, S. K. Nayar, and R. Raskar, "Capturing Images with Sparse Informational Pixels using Projected 3D Tags," roceedings of IEEE Virtual Reality, Mar, 2008.

[21] W Zhang, “A Simple Method for 3D Reconstruction from Two Views”, GVIP, 2005

[22] Yin CS, Park HJ, Seo JC, Lim S, Koh HG, “An Evaluation of the cun measurement system of acupuncture point location”, Am J Chin Med. 2005;33(5):729-35.

[23] Xin.Wang, Jian.Yang, Hanbo.Liu, Yan.Ma, “A Fast Stereo Matching_Algorithm for Real-time Robot Application”, ROBIO of IEEE, 2007

[24] Ning Xu, Weidong Chen, “A High Real-time and Robust Object Recognition and Localization Algorithm” China Journal of Image and Graphics, 2007