Biography | Publications

Hua Yang received a BE in Electronic and Information Science from Huazhong University of Science and Technology (China) in 1998, an MS in Pattern Recognition and Artificial Intelligence from the Institute of Automation, Chinese Academy of Sciences (China) in 2001, and a PhD in Computer Science from the University of North Carolina at Chapel Hill in 2008.

At UNC Dr. Yang was a member of the Augmented Reality Group where he contributed to developing 3D guidance systems that improve surgeons' ability to accurately perform minimally invasive surgeries (MIS). These systems have been tested and enhanced in multiple animal and/or human trials. He also contributed to several other projects including the development of a 3D telepresence system for medical consultation. Additionally, he taught Introduction to Scientific Programming, an undergraduate class at UNC. His thesis research was focused on appearance-based tracking and motion segmentation.

Dr. Yang has been employed by Kitware, Inc. since August 2008 as a member of the Research Staff with a focus on computer-guided surgery and medical image segmentation. His research interests include augumented reality, tracking, motion segmentation, depth reconstruction and image segmentation.

Publications

A. State, H. Yang, H. Fuchs, S. Lee, P. McNeillie and C. Burke, "Contextually Enhanced 3D Visualization for Multi-burn Tumor Ablation Guidance", Workshop on Augmented Environments for Medical Imaging and Computer-Aided Surgery, MICCAI, September, 2008.

H. Fuchs, A. State, H. Yang, T. Peck, S. Lee, M. Rosenthal, A. Bulysheva and C. Burke, “Optimizing a Head-Tracked Stereo Display System to Guide Hepatic Tumor Ablation”, Proceedings of Medicine Meets Virtual Reality (MMVR), Jan, 2008.

H. Yang, M. Pollefeys, G. Welch, J.l Frahm and A. Ilie, “Differential Camera Tracking through Sampling and Linearizing the Appearance Manifold”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 2007.

H. Yang, G. Welch and M. Pollefeys. “Illumination Insensitive Model-Based 3D Ob ject Tracking and Texture Refinement”. Proceedings of the Third International Symposium on 3D Data Processing, Visualization and Transmission, June, 2006.

G. Welch, V. Noel, H. Yang, A. State, A. Ilie, R. Yang, M. Pollefeys, and H. Fuchs. “GPU-Based View Synthesis Using an Orbital Reconstruction Frustum”. Proceedings of the 2006 Workshop on Edge Computing Using New Commodity Architectures (EDGE 2006), May 2006.

G. Welch, H. Fuchs, B. Cairns, K. Mayer-Patel, D.H. Sonnenwald, R. Yang , A. State, H. Towles, A. Ilie, M. Noland, V. Noel, and H. Yang. “Improving, Expanding and Extending 3D Telepresence”. Proceedings of the 2005 International Workshop on Advanced Information Processing for Ubiquitous Networks, December 2005.

H. Yang and G. Welch. “Model-Based 3D Object Tracking Using an Extended-Extended Kalman Filter and Graphics Rendered Measurements,” Proceedings of 1st Computer Vision for Interactive and Intelligent Environments (CV4IIE) workshop, November 2005.

R. Yang, M. Pollefeys, H. Yang, and G. Welch. “A Unified Approach to Real-Time, Multi-Resolution, Multi-Baseline 2D View Synthesis and 3D Depth Estimation using Commodity Graphics Hardware,” International Journal of Image and Graphics, 4(4): 1-25 2004.

G. Welch, R. Yang, B. Cairns, M.D., H. Towles, A. State, A. Ilie, S. Becker, D. Russo, J. Funaro, D. Sonnenwald, K. Mayer-Patel, B.D. Allen, H. Yang, Eugene Freid, M.D., Andy van Dam, and Henry Fuchs. "3D Telepresence for Off-Line Surgical Training and On-Line Remote Consultation." Proceedings of ICAT CREST Symposium on Telecommunication, Teleimmersion, and Telexistence, December 2004.

A. State, K. Keller, M. Rosenthal, H. Yang, J. Ackerman and H. Fuchs. "Stereo Imagery from the UNC Augmented Reality System for Breast Biopsy Guidance." Proceedings of Medicine Meets Virtual Reality (MMVR), Jan, 2003.

H. He, J. Tian, M. Zhao, H. Yang. “A New Fast Surface Generation and its Application in Medical Image”, Proceedings of the international conference on Visualization, Image Processing and Imaging (VIIP2001), pp. 411-416, Spain, 2001.

H. Yang, J. Tian, “A New Medical Image Segmentation Algorithm Based on Gaussian-Mixture Model”, Proceedings of Optics and Optoelectronics Inspection and Control: Techniques, Applications and Instruments, Vol. 4224, pp.40-44, Beijing, 2000.