Be Bold and Try New Things
The journey of learning and growth can sometimes feel like a bumpy road. However, many things seem difficult simply because we don't understand them. Therefore, I encourage all students to be bold and step into the unknown. While you may encounter many difficulties and challenges along the way, if you have the courage to face them and try to overcome them, you'll find that many things are not as difficult as you imagined. And the fruits of your labor in such situations are the sweetest.

Do Your Best
When you first step into unfamiliar territory, you may feel lost and helpless. But don't let this discourage you or make you give up. The value of life sometimes doesn't lie solely in the final outcome. The journey itself can be worth remembering. The key is whether you've given your all. As long as you've done your best, regardless of the final result, you won't have any regrets in life.

Learn and Accumulate Creativity
Some people may think that creativity is a gift from heaven and cannot be acquired. But I believe that's only true for geniuses. For ordinary people like us, creativity can be learned and accumulated. The more you learn and the broader your perspective, the more your creative space will expand. In other words, your creativity is linked to your knowledge base. The more you learn, the more creativity you can spark. Academic research is the same. Without sufficient knowledge and foundation, it's impossible to create good research. That's why graduate students have to read so many papers. Therefore, reading, listening, and learning more are the keys to success.

 

Research Project

2025-2026 Image-based diversified CAD 3D model generation
2024-2025 Research on the Application of AI-based 3D LiDAR Techniques for Vehicle Detecting, Tracking, Classification, and Identification —Using Highway as the Study Field
2023-2024 On the study of using high-layer convolutional neural network to estimate the transformed spatial distance of matched image feature
2022-2023 The influence of camera focal length on the estimated camera extrinsic parameters under two-view condition
2021-2022 Progressive image feature matching based on vector field consensus
2019-2021 On the study of using deep learning on image feature matching and detection
2018-2019 Camera pose estimation using video and inertial measurement unit
2017-2018 Using feature spatial order in progressive image feature matching
2016-2017 Progressive hashing based image feature matching technique
2015-2016 Interactive 3D modeling design using tangible interface under augmented reality environment
2014-2015 Modeling three dimensional objects based on augmented reality technology
2013-2014 Using Kinect sensor for 3D model reconstruction
2012-2013 Camera tracking based on 2D barcode and its applications in augmented reality
2011-2012 On the study of interactive 3D modeling on smartphones based on augmented reality
2009-2010 On the study of recovering 3D points on a surface by using image correspondences and surface characteristics
2008-2009 On the study of 3D outdoor scene reconstruction and simulation from the perspective of tree modeling 

College Student Research Scholarship, National Science Committee

2017 Removing blue screen under non-uniform illumination 

Master's Thesis Guidance

2025 Exploring the Effect of Customization and Responsiveness on Immersive Experience and Decision Comfort for Interior Design Using Mixed Reality Technology
2025 The Impact of Augmented Reality Learning with Adaptive Scaffolding on Students' Learning Effects and Experiences in Chemistry
2024 Predict the transformed spatial distance for a pair of image patches using residual networks and densely connected convolutional networks
2023 Semantic sticker classification based on convolutional neural network
2020 Estimating the spatial distance of image feature match by CNN deep learning technique
2018 Evaluating QR code based augmented reality using different feature detection techniques
2017 Designing a simple virtual sketch system
2017 Interactive 3D modeling using tangible interface under augmented reality environment
2017 Progressive image feature matching based on feature spatial order
2016 Interactive 3D modeling system based on augmented reality technologies for fundamental shape objects
2016 Estimating camera position based on structure from motion and image retrieval techniques
2016 Progressive hashing-based image matching
2016 EKF-based slam with IMUs and monocular camera
2015 Reconstructing object 3D model using Kinect sensor
2013 Using Kinect for interactive 3D model reconstruction
2013 Developing QR code based augmented reality using sift features
2013 An augmented reality environment for learning OpenGL programming
2013 Interactive 3D modeling system based on augmented reality
2011 A pattern approach to interactive installation art design
2010 Designing a multipurpose augmented reality framework based on 2D barcodes 

Journal Papers

  1. Chin-Hung Teng, Shang-Hong Lai, Yung-Sheng Chen, and Wen-Hsing Hsu, 2005, “Accurate optical flow computation under non-uniform brightness variations,” Computer Vision and Image Understanding, Vol. 97, No. 3, pp. 315-346. (SCI, EI)
  2. Chin-Hung Teng, Yung-Sheng Chen, and Wen-Hsing Hsu, 2006, “Camera self-calibration method suitable for variant camera constraints,” Applied Optics, Vol. 45, No. 4, pp. 688-696. (SCI, EI)
  3. Chin-Hung Teng, Yung-Sheng Chen, and Wen-Hsing Hsu, 2006, “An approach to extracting trunk from an image,” IEICE Transactions on Information and Systems, Vol. E89-D, No. 4, pp. 1596-1600. (SCI, EI)
  4. Chin-Hung Teng, Yung-Sheng Chen, and Wen-Hsing Hsu, 2007, “Constructing a 3D trunk model from two images,” Graphical Models, Vol. 69, pp. 33-56. (SCI, EI)
  5. Chia-Ming Cheng, Shu-Fan Wang, Chin-Hung Teng, and Shang-Hong Lai, 2008, “Image-based three-dimensional model reconstruction for Chinese treasure — Jadeite Cabbage with Insects,” Computers & Graphics, Vol. 32, pp. 682-694. (SCI, EI)
  6. Chin-Hung Teng and Yung-Sheng Chen, 2009, “Image-based tree modeling from a few images with very narrow viewing range,” The Visual Computer, Vol. 25, No. 4, pp. 297-307. (SCI, EI)
  7. Chin-Hung Teng, Yi-Ting Kuo, and Yung-Sheng Chen, 2011, “Leaf segmentation, classification, and three-dimensional recovery from a few images with close viewpoints,” Optical Engineering, Vol. 50, No. 3. (SCI, EI)
  8. I-Shyan Hwang, AliAkbar Nikoukar, Chin-Hung Teng, K. Robert Lai, 2013, “Scalable architecture for VOD services enhancement based on cache scheme in an Ethernet passive optical network,” Journal of Optical Communications and Networking, Vol. 5, No. 4, pp. 271-282. (SCI)
  9. Yung-Sheng Chen, Feng-Sheng Chen, and Chin-Hung Teng, 2013, “An optical music recognition system for skew or inverted musical scores,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 27, No. 7. (SCI)
  10. Zhi-Hong Chen, Po-Yao Chao, Ming-Chieh Hsu, and Chin-Hung Teng, 2013, “Level up, my-pet: The effects of level-up mechanism of educational agents on student learning,” Journal of Educational Technology and Society, Vol. 16, No. 4, pp. 111-121. (SSCI)
  11. Chin-Hung Teng, 2014, “Improving three-dimensional point reconstruction from image correspondences using surface curvatures,” Machine Vision and Applications, Vol. 25, No. 2, pp. 421-436. February, 2014. (SCI)
  12. Meng-Hui Chen, Chin-Hung Teng, and Pei-Chann Chang, 2015, “Applying artificial immune systems to collaborative filtering for movie recommendation,” Advanced Engineering Informatics, vol. 29, pp. 830-839, 2015. (SCI)
  13. Wen-Shou Chou, Yen-Ming Hsu, and Chin-Hung Teng, 2015, “Designing game assisted mechanism: using shooting game as the design example,” Journal of Design Science, vol. 18, no.2, pp. 67-82, December, 2015.
  14. Yung-Sheng Chen, Pao-Hsien Li, and Chin-Hung Teng, 2017, “Image analysis on a scanned journal page,” IAENG International Journal of Computer Science, vol. 44, no. 1, pp. 29-40, 2017. (EI)
  15. Chin-Hung Teng, Jr-Yi Chen, and Zhi-Hong Chen, 2018, “Impact of augmented reality on programming language learning: efficiency and perception,” Journal of Educational Computing Research, vol. 56, no. 2, pp. 254-271, 2018. (SSCI)
  16. Chin-Hung Teng, Kai-Yuan Chuo, and Chen-Yuan Hsieh, 2018, “Reconstructing three-dimensional models of objects using a Kinect sensor,” The Visual Computer, vol. 34, no. 11, pp. 1507-1523, 2018. (SCI)
  17. Chin-Hung Teng and Shueh-Shih Peng, 2017, “An augmented-reality-based 3D modeling system using a tangible interface,” Sensors and Materials, vol. 29, no. 11, pp. 1545-1554. (SCIE)
  18. Ching-Hu Lu, Jen-Wei Wang, and Chin-Hung Teng, 2020, “Modularized multi-stage binarized deep-model compression and performance recovery,” IEEE Sensors Journal, vol. 20, no. 21, pp. 12980-12991, November 1, 2020. (SCI)
  19. Andrew Tanny Liem, I-Shyan Hwang, Razat Kharga, and Chin-HungTeng, 2024, “Enhancing tactile internet reliability: AI-driven resilience in NG-EPON networks,” Photonics 2024, 11, 903. 

Conference Papers

  1. Chin-Hung Teng, Shang-Hong Lai, Yung-Sheng Chen, and Wen-Hsing Hsu, 2002, “Robust computation of optical flow under non-uniform illumination variations,” in Proc. of International Conference on Pattern Recognition, Quebec, Canada, Vol. 1, pp. 327-330. (EI)
  2. Tsung-Ming Wang, Chin-Hung Teng, and Wen-Hsing Hsu, 2003, “3D reconstruction from image sequence captured by camera with invariant intrinsic parameters,'' in Proc. of IPPR Conference on Computer Vision, Graphics and Image Processing, Taiwan, pp. 234-241.
  3. Chin-Hung Teng, Shang-Hong Lai, Yung-Sheng Chen, and Wen-Hsing Hsu, 2004, “An accurate and adaptive optical flow estimation algorithm,” in Proc. of International Conference on Image Processing, Singapore, Vol. 3, pp. 1839-1842. (EI)
  4. Chi-Yi Kao, Chin-Hung Teng, and Wen-Hsing Hsu, 2004, “Using relative lengths to camera calibration for 3D structure recovery,'' in Proc. of IPPR Conference on Computer Vision, Graphics and Image Processing, Taiwan.
  5. Chin-Hung Teng, Yung-Sheng Chen, and Wen-Hsing Hsu, 2005, “Tree segmentation from an image,” in Proc. of IAPR Conference on Machine Vision Applications, Tsukuba, Japan, pp. 59-63.
  6. Chia-Ming Cheng, Shu-Fan Wang, Chin-Hung Teng, Po-Hao Huang, Yu-Chieh Chien, and Shang-Hong Lai, 2005, “Three-dimensional model reconstruction for treasures of jadeite material from uncalibrated image sequences,” IS&T/SPIE 17th Annual Symposium on Electronic Imaging: Science and Technology, in Proceedings of SPIE, Vol. 5665, pp. 320-331. (EI)
  7. Chia-Jung Shih, Chin-Hung Teng, Guo-Zua Wu, and Wen-Hsing Hsu, 2005, “An adjustable robust watermarking system based on image compression and quality,'' in Proc. of IPPR Conference on Computer Vision, Graphics and Image Processing, Taiwan.
  8. Chin-Hung Teng and Yung-Sheng Chen, 2008, “Reconstructing 3D tree models from a few photographs captured from very close viewpoints,” in Proc. of Computer Graphics International, Istanbul, Turkey, 2008.
  9. Yi-Ting Kuo, Chin-Hung Teng, and Yung-Sheng Chen, 2008, “Leaf segmentation and its 3D position estimation from a few images with very close viewpoints,” in Proc. of IPPR Conference on Computer Vision, Graphics and Image Processing, Taiwan, 2008.
  10. Chin-Hung Teng , Yi-Ting Kuo, and Yung-Sheng Chen, 2009, “Leaf segmentation, its 3D position estimation and leaf classification from a few images with very close viewpoints,” in Proc. of International Conference on Image Analysis and Recognition, Halifax, Canada, July, 2009, LNCS 5627, pp.937-946. (EI)
  11. Chieh Jen Chen and Chin Hung Teng, 2009, “The study on applying human shadow for interactive,” in Proc. of World Conference on Educational Multimedia, Hypermedia & Telecommunications. 2009.
  12. Tai-Wei Kan, Chin-Hung Teng, and Wen-Shou Chou, 2009, “Applying QR code in augmented reality applications,” International Conference on Virtual Reality Continuum and Its Applications in Industry, Yokohama, Japan, December, 2009, pp. 253-257. (EI)
  13. Chieh Jen Chen and Chin Hung Teng, 2010, “A pattern approach to vision-based interactive installation design,” NICOGRAPH International, Singapore, June, 2010, pp.155-156.
  14. Tai-Wei Kan and Chin-Hung Teng, 2010, “A framework for multifunctional augmented reality based on 2D barcodes,” SIGGRAPH 2010, Poster Paper, Los Angeles, California, USA, July, 2010. (EI)
  15. Pei-Yin Yao, Gloria Yi-Ming Kaoba, and Chin-Hung Teng, 2010, "The influence of lifestyles on the development of creativity for students in the E-generation," 2010 International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology (e-Case & e-Tech 2010).
  16. Tai-Wei Kan and Chin-Hung Teng, 2010, “Life twitter: connecting everyday commodities with social networking service,” SIGGRAPH ASIA 2010, Poster Paper, Seoul, Korea, December, 2010. (EI)
  17. Chieh Jen Chen and Chin Hung Teng, 2010, “Reiki - the dark light,” SIGGRAPH ASIA 2010, Poster Paper, Seoul, Korea, December, 2010. (EI)
  18. Chin-Hung Teng, 2011, “An analysis of recovering three-dimensional points from image correspondences using surface curvature,” Proceedings of the 2011 International Conference on Machine Learning and Cybernetics, pp. 1654-1659, Guilin, 10-13 July, 2011. (EI)
  19. Wan-Yun Wang, Ming-Chieh Hsu, and Chin-Hung Teng, 2012, “Electronic magazine’s navigation design for the user interface usability,” Proceedings of the 2012 International Conference on e-Commerce, e-Administration, e-Society, e-Education, and e-Technology, 2012. (e-Case & e-Tech 2012)
  20. Chieh-Jen Chen, Chin-Hung Teng, and Tsai-Yen Li, 2012, “A web-based interaction design tool: pattern language toolkit,” Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, pp. 991-995, Fukuoka, Japan, 4-7, Sep. 2012. (EI)
  21. Chin-Hung Teng and Jr-Yi Chen, 2012, “An augmented reality environment for learning OpenGL programming,” Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, pp. 996-1001, Fukuoka, Japan, 4-7, Sep. 2012. (EI)
  22. Chin-Hung Teng and Bing-Shiun Wu, 2012, “Developing QR Code based augmented reality using SIFT features,” Proceedings of the 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing, pp. 985-990, Fukuoka, Japan, 4-7, Sep. 2012. (EI)
  23. I-Shyan Hwang, Chin-Hung Teng, and AliAkbar Nikoukar, 2012, “A proxy based architecture for content distribution of VOD service in EPON,” Proceeding of the 2012 11th International Conference on Optical Communications and Networks (ICOCN), pp. 1-3.
  24. Yung-Sheng Chen, Feng-Sheng Chen, and Chin-Hung Teng, 2013, “Restoring image orientation and detecting inverted image for printed music document,” Proceedings of the 2013 International Conference on Machine Learning and Cybernetics, pp. 1469-1473, Tianjin, 14-17 July, 2013. (EI)
  25. Chin-Hung Teng, Jr-Yi Chen, and Zhi-Hong Chen, 2014, “Designing and evaluating an augmented reality based OpenGL learning system,” Proceedings of The Asian Conference on Technology in the Classroom 2014, pp. 162-172, Osaka, Japan, 17-20 April, 2014.
  26. Chin-Hung Teng, and Bing-Shiun Wu, 2015, “QR code based augmented reality: performance evaluation and its application,” Proceedings of the International Conference on Computer Games Multimedia & Allied Technologies, pp. 19-26, Singapore, 13-14 April, 2015.
  27. Chin-Hung Teng, Chen-Yuan Hsieh, and Kai-Yuan Chuo, 2015, “Interactive three-dimensional model reconstruction using Kinect sensor,” Proceedings of the International Conference on Computer Games Multimedia & Allied Technologies, pp. 27-34, Singapore, 13-14 April, 2015.
  28. Pei-Yu Lin and Chin-Hung Teng, 2015, “Differential augmented reality system based on secret quick response barcode,” The 28th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP 2015), 2015/08.
  29. Pei-Yu Lin and Chin-Hung Teng, 2015, “Diverse augmented reality exhibitions for differential users based upon private quick response code,” Asia-Pacific Signal and Information Processing Association (APSIPA ASC 2015), pp. 1121 – 1125, 2015/12.
  30. Chin-Hung Teng, Yu-Liang Chen, and Xuejie Zhang, 2016, “Image-based camera localization for large and outdoor Environments,” ACCV 2016 Workshop on 3D Modeling and Applications, 2016/11.
  31. Chin-Hung Teng and Shueh-Shih Peng, 2017, “Interactive 3D modeling using tangible interface under augmented reality environment,” 2017 The International Conference on Smart Science (ICSS 2017), Huis Ten Bosch, Kyushu, Japan, April 7-12, 2017.
  32. Chin-Hung Teng, Yun-Hsuan Liao, Yi-Chia Chou, and Sih-Yu Lin, 2017, “Removing blue screen background under non-uniform illumination,” 2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).
  33. Chin-Hung Teng, 2018, “Enhanced outlier removal for extended Kalman filter based visual inertial odometry” 4th IEEE International Conference on Applied System Innovation, April13-17, 2018, Chiba, Tokyo, Japan.
  34. Chin-Hung Teng and Zhen-Hao Yang, 2019, “Estimating the spatial distance of image feature match by CNN deep learning technique,” 2019 International Conference on Knowledge Economy, Artificial Intelligence & Social Sciences, May, 25-26, Tokyo, Japan, 2019.
  35. Chin-Hung Teng and Ben-Jian Dong, 2019, “Using feature spatial order in progressive image feature matching,” 2019 International Conference on Machine Learning and Cybernetics, July 7-10, Kobe, Japan, 2019, pp. 31-36.
  36. Chin-Hung Teng, Zhen-Hao Yang, and Ching-Hu Lu, 2020, “Using CNN to predict the transformed spatial distance for a pair of image patches,” 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).
  37. Hsin-Ying Lin, Chin-Hung Teng, and Yi-Jheng Huang, 2022, “Semantic sticker classification based on convolutional neural network,” 2022 International Conference on Fuzzy Theory and Its Applications, Kaohsiung, Taiwan, November 3-6, 2022.
  38. Chin-Hung Teng, 2023, “Progressive image feature matching based on vector field consensus” 9th IEEE International Conference on Applied System Innovation, April 21-15, 2023, Chiba, Tokyo, Japan.
  39. Chin-Hung Teng and Wei Wan, 2023, “Predict the transformed spatial distance for a pair of image patches using densely connected convolutional networks,” International Conference on Fuzzy Theory and Its Applications, October 26-29, 2023, Penghu, Taiwan.
  40. Chin-Hung Teng, 2024, “The influence of camera focal length on the estimated camera extrinsic parameters under two-view condition,” 10th IEEE International Conference on Applied System Innovation, April 17-21, 2024, Kyoto, Japan.
  41. Christopher and Chin-Hung Teng, 2024, “Augmented reality in T-shirt retail: Understanding user engagement and purchase intention through Instagram filters,” IEEE 6th Eurasia Conference on IoT, Communication, and Engineering, 15-17 November, 2024, Yunlin, Taiwan.

Conference paper(會議論文)(中文)

  1. 謝承遠、鄧進宏(2012)。〈應用Kinect感測器於互動式三維物體重建〉。2012 International Conference on Digital Content。

Book Article (書籍文章)

  1. Chin-Hung Teng and Wen-Hsing Hsu, 2009, “Large scale system design,” Encyclopedia of Biometrics, pp. 883-889.
  2. Chin-Hung Teng, Ho-Ling Hsu, and Wen-Hsing Hsu, 2010, “Biometric authentication,” Pattern Recognition and Machine Vision: In Honor and Memory of Professor King-Sun Fu, pp. 335-348.
  3. Tai-Wei Kan, Chin-Hung Teng, and Mike Y. Chen, 2011, “QR Code Based Augmented Reality Applications,” Handbook of Augmented Reality, Chapter 16, pp.339-354.

Patents (專利)

  1. 專利名稱：基於雜湊函數的漸進式影像匹配方法與裝置
    專利國家：中華民國
    發明人：鄧進宏、曾小玻、蔡侑庭、葉奕成、張學杰
    專利證號：I571805
  2. 專利名稱：基於空間順序的漸進式影像特徵點匹配方法與裝置
    專利國家：中華民國
    發明人：鄧進宏、董本健、柏正堯
    專利證號：I612498
  3. 專利名稱：應用於SLAM系統的標記點參數化更新方法及其裝置
    專利國家：中華民國
    發明人：鄧進宏、高峻、蔡侑庭、葉奕成、徐丹
    專利證號：I681168