Dr Chia-Yen Chen

BSc, MSc(Hon), PhD


Chia-Yen Chen (or just Yen) received her B.Sc. and M.Sc.(Hon), as well as Ph.D. degrees from the Department of Computer Science, at the University of Auckland, New Zealand, in 1996, 1999 and 2004, respectively.

She has been a lecturer in the Department of Computer Science at the University of Auckland from 2002 to 2006, an assistant professor in the Department of Electrical Engineering at National Chung Cheng University from 2006 to 2007. She has been an assistant professor from 2007 to 2013 and an associate professor from 2013 in the Department of Computer Science and Information Engineering at National University of Kaohsiung, in Taiwan. Since 2014, Yen has been appointed Adjunct associate professor at National Sun-Yat Sen University for her expertise in 3D modelling and augmented reality. Since 2007, she has received and directed more 15 projects related to computer vision and 3D reconstructions, from the Ministry of Science and Technology, as well as industries in Taiwan.

In 2017, Yen re-joins the Department of Computer Science, at the University of Auckland, as a lecturer.

Yen's current research interests include 3D reconstructions, computer vision, as well as augmented reality and related applications.

Research | Current

Computer vision, 3D reconstruction and modelling, visual odometry, augmented reality and other related 3D applications

Teaching | Current

2018S1: 373/771, 773

2018S2: 715, 105

Areas of expertise

3D modelling, augmented reality, computer vision, computer graphics, image processing

Selected publications and creative works (Research Outputs)

  • Tai, K. H., Hsieh, M. Y., Chen, M. J., Chen, C. Y., & Yeh, C. H. (2017). A fast HEVC encoding method using depth information of collocated CUs and RD cost characteristics of PU Modes. IEEE Transactions on Broadcasting, 63 (4), 680-692. 10.1109/TBC.2017.2722239
  • Chien, H. J., Chuang, C. C., Chen, C. Y., & Klette, R. (2016). When to use what feature? SIFT, SURF, ORB, or A-KAZE features for monocular visual odometry. International Conference Image and Vision Computing New Zealand Palmerston North, New Zealand. 10.1109/IVCNZ.2016.7804434
  • Chien, H.-J., Geng, H., Chen, C.-Y., & Klette, R. (2016). Multi-frame feature integration for multi-camera visual odometry. In T. Braunl, B. McCane, M. Rivera, X. Yu (Eds.) Image and video technology, LNCS, volume 9431, 27-37. University of Auckland, Auckland, New Zealand: SPRINGER INT PUBLISHING AG. 10.1007/978-3-319-29451-3_3
  • Yeh, C.-H., Tseng, W.-Y., Chen, C.-Y., Lin, Y.-D., Tsai, Y.-R., Bi, H.-I., ... Lin, H.-Y. (2014). Popular music representation: Chorus detection & emotion recognition. Multimedia tools and applications, 73 (3), 2103-2128. 10.1007/s11042-013-1687-2
  • Chen, C.-Y., & Chien, H.-J. (2014). Geometric calibration of a multi-layer LiDAR system and image sensors using plane-based implicit laser parameters for textured 3-D depth reconstruction. Journal of Visual Communication and Image Representation, 25 (4), 659-669. 10.1016/j.jvcir.2013.08.005
  • Russel, J. C., Klette, R., & Chen, C.-Y. (2009). Tracking small artists. In F. Huang, R. C. Wang (Eds.) Arts and technology. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 30, 165-172. Berlin: Springer. 10.1007/978-3-642-11577-6_21
    Other University of Auckland co-authors: James Russell
  • Vaudrey, T., Wedel, A., Chen, C. Y., & Klette, R. (2009). Improving optical flow using residual and Sobel edge images. In F. Huang, R. C. Wang (Eds.) Arts and Technology First International Conference, ArtsIT 2009, LNICST, volume 30, 215-222. Yi-Lan, Taiwan. 10.1007/978-3-642-11577-6_27
  • Teng, J. H., Liu, Y. H., Chen, C. Y., & Chen, C. F. (2007). Derivation of novel estimation formulas for distribution feeder reconfiguration. IEEE Region 10 Annual International Conference, Proceedings/TENCON. 10.1109/TENCON.2006.343681

Contact details

Office hours

Wednesday 1pm (or arrange by email)