研究生: |
孫汎亞 Veralia Gabriela Sanchez |
---|---|
論文名稱: |
An Android Application for Insect Recognition 一個用於辨識昆蟲的Android應用程式 |
指導教授: | 孫宏民 |
口試委員: |
洪國寶
龍嵩銘 |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 資訊系統與應用研究所 Institute of Information Systems and Applications |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 英文 |
論文頁數: | 120 |
中文關鍵詞: | Android application 、Insecta 、Picture 、Recognition |
相關次數: | 點閱:2 下載:0 |
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Entomology is the study of insects; there are around 1.3 million species in the world. Insect recognition is a very important part of the study of insects, especially
in the context of agricultural and biological control. However, for people who are not entomologist or experts in the elds of agriculture, it is also important to know
what kind of insects are around them because they could be dangerous or harmless. Therefore, this thesis proposes an android application to recognize insects; in scientic
terms, it focuses on the class insecta, which is divided in 29 orders of species. The application works by just taking a picture to the insect with the android phone and
then the systems outputs to the user all the useful information such as the insect family and its characteristics. The application is written in C++ and it's tested in an android environment connected through JNI and Android NDK
[1] Aandroid Developers, 2011. 19 July 2011
<http://developer.android.com>
[2] Bradski ,Gary and Kaehler, Adrian. Learning OpenCV. United States
of America: O'Reilly Media, Inc, 2009
[3] Brown, M., Szeliski, R., andWinder, S. \Multi-image matching using
multi-scale oriented patches". 2005
[4] Bishop, C. M.. \Pattern Recognition and Machine Learning" 2006
[5] Brown, M. and Lowe, D. \Unsupervised 3D object recognition and
reconstruction in unordered datasets. " 2003
[6] C. H. Chen, Handbook of Pattern Recognition and Computer Vision
4th Edition. Singapore:World Scientic Publishing, 2010
[7] Csurka, Dance, Fan et al. \Visual categorization with bags of
keypoints. ECCV Intenational Workshop on Satitistical Learning in
Computer Vision Prague, 2004
[8] David R. Martin Charless C. Fowlkes Jitendra Malik , \Learning to
Detect Natural Image Boundaries Using Brightness and Texture"
[9] Hartley, R. I.. \An algorithm for self calibration from several views".
1994
[10] Harris, C. and Stephens, M. J. \A combined corner and edge
detector". 1988.
[11] Laganiere , Robert.
OpenCV 2 Computer Vision Application Programming Cookbook.
UK : Packt Publishing Ltd, 2011
[12] Matas, J. et al.. \Robust wide baseline stereo from maximally stable
extremal regions" (2004).
[13] Michael Donoser and Horst Bischof, \Ecient Maximally Stable
Extremal Region (MSER) Tracking" , 2006
[14] OpenCVWiki, 2011. 19 July 2011
<http://opencv.willowgarage.com/wiki/>
[15] Parker, J. R. Algorithms for Image Processing and Computer Visions.
2nd Edition Indianapolis: Wiley Publising, 2011
[16] Szeliski, Richard. Computer Vision: Algorithms and Applications.
New York: 2008
[17] Seitz, P. \Using local orientation information as image primitive for
robust object recognition." 1989