My current research
focus:
•
3D Scanning,
Reconstruction and Modelling
•
Computational Photography
•
Projector-Based Displays and Rendering
In 3D scanning and
3D reconstruction of real-world
environments and objects from range data and images, the
process
includes using 3D range scanners to acquire range (depth)
information, using digital cameras to capture color information, and
processing the potentially huge amount of data to reconstruct
high-quality and realistic 3D digital models of the environments and
objects. Many techniques in computer graphics and
computer vision are required to solve problems in the
area.
The following images show a 3D
digital model of the library in Monticello, home of former U.S. President Thomas Jefferson. The
model was reconstructed from range images and color images acquired
during a trip to Charlottesville, Virginia. The right image shows
the 3D model rendered in full color and the left shows the
wireframe. (The model is the result of the Scanning Monticello
Project (UNC
website, UVA
website), a joint project between the
Computer Science Department of the
University of North Carolina at Chapel Hill and the
Computer Science Department of the
University of Virginia).
|
 A view of the 3D model reconstructed from
range images and color images. |
 The same view of the 3D model
rendered in wireframe. |
The range images were captured
using a DeltaSphere-3000 3D
laser range scanner (NUS School of Computing has recently
purchased one for research and teaching purposes). The following
images show a range image captured by a DeltaSphere scanner and the
3D mesh model constructed from the range image.
|
 A range image captured by
a DeltaSphere 3D laser scanner. |
 The 3D mesh model constructed
from the range image. |
Some of my past research areas:
•
Projector-based rendering
•
Image-based rendering
•
Virtual and
augmented reality
•
Collision detection
•
Model simplification and level of detail