Kin Hong Wong

About

Kin Hong Wong is a leading researcher in computer vision and robotics, with a focus on 3-D motion tracking, pose estimation, and assistive technologies. His most influential work, "Robust 3-D Motion Tracking From Stereo Images: A Model-Less Method" (37 citations), introduces a high-speed extended-Kalman-filter approach that recovers camera position and orientation from stereo sequences without requiring prior 3-D models—a breakthrough for real-time robotic navigation. This model-less technique is further refined in his 2006 paper (10 citations), emphasizing recursive recovery without structural assumptions. Wong’s impact extends to accessibility with "Robot Avatar: A Virtual Tourism Robot for People with Disabilities" (31 citations), which enables disabled users to explore remote locations via a robot streaming immersive video to a head-mounted display. He has also advanced 3-D scanning through multi-Kinect calibration for full surface reconstruction (6 citations) and investigated optimal camera layouts for mobile robot pose estimation (2 citations). With over 86 total citations, Wong’s work bridges theoretical innovation and practical applications, empowering both autonomous systems and human-centric robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Robust 3-D Motion Tracking From Stereo Images: A Model-Less Method

   37 citations · 2008
2. 2
   Robot Avatar: A Virtual Tourism Robot for People with Disabilities

   31 citations · 2017
3. 3
   Recursive Recovery of Position and Orientation from Stereo Image Sequences without Three-Dimensional Structures

   10 citations · 2006
4. 4
   Calibration of multiple Kinect depth sensors for full surface model reconstruction

   6 citations · 2016
5. 5
   Robot Pose Estimation: A Vertical Stereo Pair Versus a Horizontal One

   2 citations · 2015

Key Collaborators

Contact & Links