Baozhong Tian

Recent and upcoming courses

Fall 2025

• ICS 340: Algorithm Design and Analysis

Spring 2026

• ICS 352: Machine Learning
• ICS 340: Algorithm Design and Analysis

Biography

Dr. Baozhong Tian's research interests are mainly in image processing areas such as computer vision techniques including object tracking, optical flow computation, 3D scene reconstruction, etc. Tian published a series of peer-reviewed papers on 3D reconstruction algorithm analysis, comparison and applications.

Tian's recent application oriented research topics are focused on applying computer vision techniques in organic farming fields such as plant and weed tracking/removal.

Tian also actively involves undergraduate/graduate students to participate in research projects, such as advising students to use state-of-the-art Computer Vision software libraries to build eye-tracking systems.

Tian's industry experience has proved him to be an excellent problem solver and researcher in the real world as well. He has participate in many IT and e-commerce projects as well as tracking projects in commercial video surveillance systems.

Tian's electronics and acoustics science background makes him capable of many additional interdisciplinary research areas such as acoustics design, ultrasound detection and measurement and many more industrial research and applications.

Publications

1. B. Betterman, R. Anderson and B. Tian, Imaging Using 2.4GHz, The 2023 Midwest Instruction and Computing Symposium, Cedar Falls, Iowa, USA, March 31-April 1, 2023.
2. B. Tian, A Low-cost Design of Computer Vision Guided In-Row Weeding System, The 2022 Midwest Instruction and Computing Symposium, Milwaukee, Wisconsin, USA, April 1-2, 2022.
3. B. Tian, Accuracy Analysis of Plant Segmentation Network with Hue-enhancement, The 2020 Midwest Instruction and Computing Symposium, Milwaukee, Wisconsin, USA, April 3-5, 2020.
4. A. Kilde and B. Tian, “APPRISE” Student Notification iOS APP, The 2020 Midwest Instruction and Computing Symposium, Milwaukee, Wisconsin, USA, April 3-5, 2020.
5. B. Tian, Hue-assisted Convolutional Neural Network (CNN) for plant stem segmentation, The 2019 Midwest Instruction and Computing Symposium, Fargo, North Dakota, USA, April 5-6, 2019.
6. B. Resheske, B. Tian, Real-Time Eye Detection and Tracking, 2015 SSR International Conference on Social Sciences and Information, Tokyo, Japan, November 29-30, 2015.
7. B. Tian, S. Sambasivam and J. L. Barron, Practical Digital Playback of Gramophone Records using Flat-Bed Scanner Images, Audio Engineering Society 131st Convention, New York, New York, October 20-23, 2011.
8. B. Tian and J. L. Barron, Using computer vision technology to play gramophone records, Journal of Audio Engineering Society, Volume 59 Issue 7/8 pp. 514-538, July 2011.
9. C. Bradney, B. Tian, The Integration of Computers and Culture, Christians on Diversity in the Academy (CDA) Conference 2010, Monrovia, California, USA, March 24-26, 2010.
10. B. Tian, J. L. Barron, Sound From Gramophone Record Groove Surface Orientation, International Conference on Image Processing, San Antonio, Texas, USA, September 16-19, 2007.
11. B. Tian, J. L. Barron, Reproduction of Sound Signal from Gramophone Records using 3D Scene Reconstruction, Irish Machine Vision and Image Processing Conference, Dublin City University, Ireland, August 30 - September 1, 2006.
12. B. Tian, J. L. Barron, A Quantitative Comparison of 4 Algorithms for Recovering Dense Accurate Depth, 2nd Canadian Conference on Computer and Robot Vision, Victoria, BC, Canada, May 9-11, 2005.
13. B. Tian. J. L. Barron, W.K.J. Ngai and H. Spies. A comparison of 2 methods for recovering dense accurate depth using known 3D camera motion. In Vision Interface, Halifax, Canada, June 11-13, 2003.