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研究人員 ｜ Research Faculty
● Deputy Director, Research Center for Information Technology In- Editorial Board Member, Journal of Multimedia, Academy Publisher
陳祝嵩 Chu-Song Chen novation, Academia Sinica, Taiwan (2008 -) (2006-)
● Adjunct Professor, Graduate Institute of Networking and Multimedia, Editorial Board Member, Machine Vision and Applications, Springer
National Taiwan University (2009 -) (2010-)
● Secretary-General of the Image Processing and Pattern Recognition Area Chair, Asia Conference on Computer Vision, ACCV 2010, Queen-
(IPPR) Society, Taiwan (2007-2008) stown, New Zealand
研究員 Research Fellow ● Adjunct Associate Professor, National Taipei University of Technol- Area Chair, Asia Conference on Computer Vision, ACCV 2009, Xi’An,
Ph.D., Computer Science and Information Engineering, National Taiwan University ogy, Department of Computer Science and Information Engineering, China
Taiwan (2004-2005) Theme chair, PSIVT 2009, track of Computer Vision and Applications,
Tel: +886-2-2788-3799 ext. 1310 ● Joint Appointment Assistant Professor, National Taiwan Normal Tokyo, Japan
Fax: +886-2-2782-4814 University, Department of Graphic Arts and Communication, Taiwan Program Co-chair, ICDAT 2005 and ICDAT 2006,Taipei, Taiwan
Email: song@iis.sinica.edu.tw (2001-2004)
http://www.iis.sinica.edu.tw/pages/song
on,” Proceedings of IAPR Workshop on Machine Vision Applications, ter Vision and Pattern Recognition, CVPR 2008, June 2008.
研究簡介 Research Description MVA2000, Tokyo, Japan, November 2000.
19. Wen-Yan Chang, Chu-Song Chen, and Yong-Dian Jian, “Visual
6. Jiun-Hung Chen and Chu-Song Chen, “Fuzzy Kernel Perceptron,” Tracking in High-Dimensional State Space by Appearance-Guided
我的主要研究方向包括了模式識別、電腦視覺、以及影 My main research directions include pattern recognition, computer vision and im- IEEE Transactions on Neural Networks, pp. 1364-1373, November Particle Filtering,” IEEE Transactions on Image Processing, volume
像與訊號處理。伴隨著相關研究在最近這幾年來的快速 age/signal processing. With the fast progress of related researches and a growing 2002. 17, number 7, pages 1154-1167, July 2008.
進步，個人認為電腦視覺最能夠發揮的層面有包括：(1) development of the multimedia industry, the main directions include (1) Human- 7. Jiun-Hung Chen, Chu-Song Chen, and Yong-Sheng Chen, “Fast Al- 20. Yu-Ting Chen, Chu-Song Chen, “Fast Human Detection Using A
以人為本之影像內容分析 ─ 利用電腦視覺的技術自動追 centered image content analysis – automatically tracking and recognizing human gorithm for Robust Template Matching with M-estimators,” IEEE Novel Boosted Cascading Structure with Meta Stages,” IEEE Trans-
蹤與辨認人的特徵，姿態，身份，性別，年齡等。(2)視 features in images, such as gesture, identity, gender, age, and so on; (2) Visual sur- Transactions on Signal Processing, pp. 230-243, January 2003. actions on Image Processing, volume 17, number 8, pages 1452-
訊監控 ─ 利用電腦自動監控視訊中可疑的人物，以便自 veillance – automatically monitoring the motions of dubious persons and objects 8. Chu-Song Chen, Yu-Ting Chen, and Fay Huang, “Stitching and 1464, August 2008.
動地發出警戒訊號，輔助警衛做好安全監控之任務。目 in video, so as to assist guards for security purposes. My research follows the above Reconstruction of Linear-Pushbroom Panoramic Images for Planar 21. Chun-Rong Huang, Chu-Song Chen, and Pau-Choo Chung, “Con-
前我的研究重點即是循著以上方向，從事的研究題目包 themes. Current research topics include pedestrian detection, facial expression un- Scenes,” Proceedings of European Conference on Computer Vision, trast Context Histogram - A Novel Discriminating Local Descriptor
括了人形偵測與追蹤、人臉表情辨認、視訊內容分析、 derstanding, human age estimation, video content analysis, lighting normalization, (Lecture Notes in Computer Science, LNCS 3022) ECCV 2004. for Object Recognition and Image Matching,” Pattern Recognition,
volume 41, number 10, pages 3071-3077, October 2008.
光影分析與重建、影子去除、自動追蹤與監控等。 shadow detection and elimination, visual tracking and surveillance, and so on. 9. Chu-Song Chen and Wen-Yan Chang, “On Pose Recovery for Gen-
eralized Visual Sensors,” IEEE Transactions on Pattern Analysis and 22. Chun-Rong Huang, Huap-Ping Lee, Chu-Song Chen, “Shot Change
Machine Intelligence, Vol. 26, No. 7, pp. 848-861, July 2004. Detection via Local Keypoing Matching,” IEEE Transactions on
Multimedia, volume 10, number 6, October 2008.
10. Chu-Song Chen, Wen-Teng Hsieh, and Jiun-Hung Chen, “Panoramic
Appearance-based Recognition of Video Contents Using Matching 23. Jen-Hao Hsiao, Chu-Song Chen, and Ming-Syan Chen, “A Novel
Graphs,” IEEE Transactions on Systems Man and Cybernetics, Part Language-Model-Based Approach for Image Object Mining and Re-
代表著作 Publications B, pp. 179-199, February 2004. Ranking,” IEEE International Conference on Data Mining, ICDM
2008, December 2008.
11. Jiun-Hung Chen and Chu-Song Chen, “Object Recognition Based on
Image Sequences by Using Inter-Feature-Line Consistencies,” Pat- 24. Kuan-Ta Chen, Jau-Yuan Chen, Chun-Rong Huang, and Chu-Song
1. Chu-Song Chen, Yi-Ping Hung, Jen-Bo Cheng, “A Fast Automatic Method for tern Recognition, Vol. 37, Issue 9, pp. 1913-1923, September 2004. Chen, “Fighting Phishing with Discriminative Keypoint Features,”
Registration of Partially-Overlapping Range Images,” Proceedings of Interna- IEEE Internet Computing, volume 13, number 3, pages 56-63, May
tional Conference on Computer Vision, ICCV’98, Bombay, India, pp. 242-248, 12. Chun-Rong Huang, Chu-Song Chen, and Pau-Choo Chung, “Tangi- 2009.
January 1998. ble Photo-Realistic Virtual Museum,” IEEE Computer Graphics and
Applications, January/February Issue, 2005. 25. Jia-Bin Huang and Chu-Song Chen, “Moving Cast Shadow Detec-
2. Chu-Song Chen, Ja-Ling Wu, and Yi-Ping Hung, “Theoretical Aspects of Verti- tion Using Physics-based Features,” IEEE Computer Society Confer-
cally-Invariant Gray-Level Morphological Operators and Their Applications on 13. Wen-Yan Chang, Chu-Song Chen, and Yi-Ping Hung, “Appearance- ence on Computer Vision and Pattern Recognition, CVPR 2009, June
Adaptive Signal and Image Filtering,” IEEE Transactions on Signal Processing, Guided Particle Filtering for Articulated Hand Tracking,” Proceed- 2009.
Vol. 47, No. 4, pp. 1049-1060, April 1999. ings of IEEE Computer Society International Conference on Com-
puter Vision and Pattern Recognition, CVPR 2005, San Diego, CA, 26. Chih-Yi Chiu, Hsin-Min Wang, Chu-Song Chen, “Fast Min-hashing
3. Chu-Song Chen, Chi-Kuo Yu, and Yi-Ping Hung, “New Calibration-free Ap- USA, June 2005. Indexing and Robust Spatio-temporal Matching for Detecting Video
proach for Augmented Reality Based on Parameterized Cubed Structure,” Pro- Copies,” ACM Transactions on Multimedia Computing, Communica-
ceedings of International Conference on Computer Vision, ICCV’99, Corfu, 14. Chia-Ping Chen and Chu-Song Chen, “Lighting Normalization with tions and Applications, Vol. 6, Issue 2, March 2010.
Greece, pp. 30-37, September 1999. Generic Intrinsic Illumination Subspace for Face Recognition,” Pro-
ceedings of IEEE International Conference on Computer Vision, 27. Yong-Dian Jian and Chu-Song Chen, “Two-View Motion Segmen-
4. Chu-Song Chen, Yi-Ping Hung, and Jen-Bo Cheng, “RANSAC-based DARCES: ICCV 2005, Beijing, China, October 2005. tation with Model Selection and Outlier Removal by RANSAC-En-
A New Approach to Fast Automatic Registration of Partially-Overlapping Range hanced Dirichlet Process Mixture Models,” International Journal of
Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15. Chia-Ping Chen and Chu-Song Chen, “The 4-Source Photometric Computer Vision, Vol. 88, Issue 3, July 2010.
21, No. 11, pp. 1229-1234, November 1999. Stereo Under General Unknown Lighting,” Proceedings of European
Conference on Computer Vision (Lecture Notes in Computer Science,
5. Chang-Ming Tsai and Chu-Song Chen, “Finding Minimal Photo Hull for Image- LNCS 3953) ECCV 2006.
based Rendering by Carving Space with Progressively Stricter Consistent Criteri-
16. Jen-Hao Hsiao, Chu-Song Chen, Lee-Feng Chien, and Ming-Syan
Chen, “A New Approach to Image Copy Detection Based on Extend-
ed Feature Sets,” IEEE Transactions on Image Processing, Vol. 16,
Issue 8, pp. 2069-2079, August 2007. (SCI, EI)
17. Yong-Dian Jian, and Chu-Song Chen, “Two-View Motion Segmenta-
tion by Mixtures of Dirichlet Process with Model Selection and Out-
lier Removal,” Proceedings of International Conference on Computer
Vision, ICCV 2007, Rio Brazil, October 2007.
18. Kuan-Wen Chen, Chih-Chuan Lai, Yi-Ping Hung, and Chu-Song
Chen, “An Adaptive Learning Method for Target Tracking across
Multiple Cameras,” IEEE Computer Society Conference on Compu-
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