Research
My research interests include 3D computer vision, robotic vision, augmented reality, computer graphics and machine learning. I am currently mainly working on robust 3D object pose estimation and tracking.
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A Stereo-Lidar SLAM System
We build a Simultaneously Localization and Mapping (SLAM) system based on a line-scan Lidar and two cameras.
poster /
video: youtube youku
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3D Object Tracking for Augmented Reality
Some Augmented Reality (AR) demos based on our research about 3D object tracking.
video: youtube youku
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3D Paint
Our 3D object pose tracking algorithm makes it possible to paint on the surface of 3D models, instead of on 2D papers.
video: youtube youku
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Fast 3D Object Tracking with Edge Distance Fields
Very fast occlusion-aware 6-DOF object pose tracking based on edge distance fields. Objects could be tracked with only ~100 edge points.
video: youtube youku
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A Vision-aided Robot Arm
We assemble a webcam to a commercial robot arm (uArm swift pro) and develop some demo applications, including automatic pick-and-place, laser engraving, 3D printing, planar target tracking, and the simulation of air refueling.
video: youtube youku
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Outstanding Graduates of Beijing, 2020
First-Class Academic Scholarship in Tsinghua, 2018
National Scholarship for Doctoral Students, 2017
Outstanding Graduates of Beijing, 2013
National Scholarship for Undergraduate Students, 2012
Tsinghua-Samsung Scholarship, 2011
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The source code of this website is adapted from this page.
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