(3.238.96.184) 您好!臺灣時間:2021/05/08 04:53
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

: 
twitterline
研究生:施皓中
研究生(外文):Hao-Chung Shih
論文名稱:基於弧形遮罩邊緣搜尋的人耳偵測定位及其GoogleAndroid嵌入式系統實作
論文名稱(外文):Ear Detection Based on Arc-Masking Extraction and Its Implementation on Google Android Platform
指導教授:何前程
指導教授(外文):Chian C. Ho
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:電機工程系碩士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:71
中文關鍵詞:人耳偵測弧形遮罩
外文關鍵詞:ear recognitionear recognition
相關次數:
  • 被引用被引用:0
  • 點閱點閱:410
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:63
  • 收藏至我的研究室書目清單書目收藏:1
在本論文中,我們提出了一個概念簡單卻十分實際的人耳偵測演算法,本演算法基於弧型遮罩邊緣搜尋以及候選區域密度驗證,在沒有偏轉的側面臉部影像,能夠達到極高的偵測率,並且具備抗光照強度變化、光照顏色的影響,此外亦不需要高解析度或高階的3D數位相機。
本演算法分為兩部份,在第一部份中使用弧形遮罩邊緣搜尋,搜尋出人耳影像邊緣,再以多重馬賽克法將密集的影像邊緣加以突顯,以獲得為數不多的候選區域。第二部份則是利用後選區域內的邊緣密度與後選區域之間的相對位置,再更進一步驗證出正確的人耳位置。實驗結果顯示,在沒有偏轉的側面臉部影像,可以得到100%的偵測率。
This paper proposes a simple but practical 2D ear detection algorithm based on arc-masking candidate extraction and luminance density candidate verification. This algorithm is immune to illumination variation, illumination color, and high-level 3D camera is unnecessary.
In the first half phase of the proposed ear detection algorithm, a few ear candidates are extracted by arc-masking edge search followed by multilayer mosaic and orthogonal projection histogram. Then, in the second half phase, the most likely ear candidate is picked out by rough luminance density verification. Experimental results show that the proposed ear detection algorithm can achieve a bit higher detection hit rate and much lower detection false alarm rate than conventional AdaBoost ear detection algorithm with Haar-like features under various pose rotation conditions.
目錄
摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
表目錄 v
圖目錄 vi
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 1
1.3 人耳辨識流程 2
1.4 論文架構 2
第二章 人耳偵測相關研究 4
2.1 2D影像邊緣 4
2.2 AdaBoost結合Haar-like feature 5
2.3 3D影像資訊 6
第三章 基於弧形遮罩的人耳偵測定位 8
3.1 系統架構 8
3.2 弧形遮罩邊緣搜尋 8
3.3 多重馬賽克 15
3.4 擷取候選區域 19
3.4.1 水平、垂直投影統計圖曲線 21
3.4.2 曲線平滑 21
3.4.3 波峰判定 22
3.5 候選區域票選 23
第四章 實驗結果 26
第五章 Google Android手機作業系統平台實作 32
5.1 Google官方解鎖手機Android Dev Phone 1 32
5.2 Android作業系統架構 33
5.3 實作人耳偵測系統於Android Dev Phone 1及其最佳化 47
5.4 簡化人耳偵測系統並實作於Android Dev Phone 1 56
第六章 結論與未來展望 59
參考文獻 60
[1] K. H. Pun, Y. S. Moon, “Recent Advances in Ear Biometrics,” Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 164 – 169, May 17 – 19, 2004.
[2] Xiaona Xu, Zhichun Mu, “Multimodal Recognition Based on Fusion of Ear and Profile Face,” in Proceedings of Fourth International Conference on Image and Graphics, pp. 598 – 603, Aug. 22 – 24, 2007.
[3] Kyong Chang, Kevin W. Bowyer, “Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1160 – 1165, September 2003.
[4] Li Yuan, Zhi-Chun Mu, “Ear Detection Based on Skin-Color and Contour Information,” in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, Hong Kong, pp. 19 - 22, August, 2007.
[5] Richard O. Duda and Peter E. Hart, “Use of the Hough Transformation To Detect Lines and Curves in Pictures,” Communications of the ACM, vol. 15(1), pp. 11 – 15, 1972.
[6] Robert A. McLaughlin, “Randomized Hough transform: improved ellipse detection with comparison,” Pattern Recognition Letters, vol. 19, pp. 299–305, Mar. 1998.
[7] Robert A. McLaughlin, “Randomized Hough Transform: Better Ellipse Detection,” IEEE TENCON - Digital Signal Processing Applications, vol. 1, pp. 409 - 414, Nov. 26 – 29, 1996.
[8] 危克, 徐正光, 穆志純, 袁立, “小波分析在人耳圖像邊緣檢測的應用研究”, 計算機工程與應用, pp. 212 - 214, 2004.
[9] P. Viola, M. Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features,” in Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. I-511 – I-518, 2001.
[10] P. Viola, M. Jones, “Robust Real-Time Face Detection,” International Journal of Computer Vision 57(2), pp. 137 – 154, 2004.
[11] Qing Chen, Nicolas D. Georganas, Emil M. Petriu, “Real-time Vision-based Hand Gesture Recognition Using Haar-like Feature,” Instrumentation and Measurement Technology Conference (IMTC), pp. 1 – 6, Warsaw, Poland, May 1 – 3, 2007.
[12] Wing Teng Ho, Yong Haur Tay, “On Detecting Spatially Similar and Dissimilar Object Using AdaBoost,” International Symposium on Information Technology, vol. 2, pp. 1 – 5, Aug. 26-28, 2008.
[13] S. M. S. Islam, M. Bennamoun, and R. Davies, “Fast and fully automatic ear detection using cascaded AdaBoost,” in Proceedings of IEEE Workshop on Applications of Computer Vision (WACV), pp. 1–6, Jan. 2008.
[14] Wen-Jing Li, Zhi-Chun Mu, “Ear Detection Based on Improved AdaBoost Algorithm,” in Proceedings of Chinese Conference on Pattern Recognition (CCPR), pp. 1 – 6, Oct. 22 – 24, 2008.
[15] Ping Yan, Kevin W., “Biometric Recognition Using 3D Ear Shape,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 8, pp. 1297 – 1308, August, 2007.
[16] Hui Chen, Bir Bhanu, “Human Ear Recognition in 3D,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 718 – 737, August, 2007.
[17] Google, “Android Dev Phone 1,” [Online]. Available: http://code.google.com/android/dev-devices.html
[18] Google, “What is Android,” [Online]. Available: http://code.google.com/android/what-is-android.html
[19] Google, “Installing the SDK,” [Online]. Available: http://code.google.com/android/intro/installing.html
[20] Google, “Development Tools,” [Online]. Available: http://code.google.com/android/intro/tools.html
[21] Jack Shirazi, “Java Performance Tuning,” 林志浩 譯, 美商歐萊禮台灣分公司, 2001.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔