Professor of Intermedia
Arizona State University
Create an original Create the image entirely
pattern and scan the on the computer (Rinus Roelofs)
image (L. West at ASU Prism lab)
(Single Point Digitizer)
3D Laser Digitizing
(Cyberware M15, RGB3030)
3D Optical Digitizing
Geo Sensing Devices
(Radar, LIDAR, LandSAT)
Synthetic Data (CAD)
Nano and Micro Scale
POINT SCANNER DESKTOP LASER/VIDEO
Prism Lab at ASU
Fresno City College
ZCORP 700 HANDHELD
LASER ARM FROM Q-
Fresno City College
This 3d scanner uses a standard
Canon DSLR camera combined with
a Pico projector mounted on the hot
shoe, and is controlled by the
Mephisto 3D scan engine.
Next Engine 3D Scanner
Courtesy of Q-plus Labs
This unique approach projects a random light
pattern on a person and captures a 3-D image
in two thousandths of a second with
synchronized digital cameras arranged
around the subject at precise angles. By
calculating the displacement of the light
patterns, the subject's exact surface geometry
and accurate surface texture map are built in
seconds and then fused mathematically.
For further information visit the 3Q website
• Development of algorithms for representation,
extraction, segmentation, query and matching of 3D facial
shapes for authentication.
• Novel approach took advantage of the 3rd dimension to
greatly increase accuracy and reliability of the data.
• Researchers examined face geometry and curvature to
analyze facial features that are invariant to expressions
and other changes such as facial hair.
• The project involved capturing, creating, and archiving
of over 1500 faces in 3D.
• Supported by a 3 year grant from the National Science
Dr. Anshuman Razdan (left) standing
next to the 3Q Scanner with a
candidate for face scan.
To the right is sample data derived
Cyberware full body scanner
Created at both ASU’s Prism Lab and
the lab at Fresno City College
Images rendered with Rhino 3D
1999 the State institute for the Care of Historical
Monuments in Prague with the support of the
Czech Ministry of Culture began a long-term
project, monitoring the Charles Bridge sculptures.
The Charles Bridge, dating from the 14th century,
is not only a significant historical monument, but
also a gallery of baroque sculpture.
The sculptures and sculpture groups are affected
by degradation and the original objects are being
gradually replaced by copies. SLA of red blood cell
Non-destructive measuring methods, including a
detailed photo documentation was used. To
actually get the 3D form, the "flat pictures" can
not give enough information. Therefore an
accurate digitizing was needed, producing data
which can easily be archived, compared and used
for making a replica if needed.
The 6 meter high sandstone sculpture of
Saint Vojtech by the 18th c. sculptor
Ferdinand Maxmilian Brokoff was the
first element to be digitized.
The Czech company, MCAE, utilized
the optical measuring systems TRITOP
and ATOS from GOM.
Two integrated systems were used:
• ATOS is an optical measuring
machine based on the principle of
triangulation. Projected fringe
patterns are observed with two
digital cameras. 3D coordinates for
each camera pixel are calculated with
high precision, and a polygon mesh
of the object’s surface is generated.
• TRITOP is a photogrammetry
system that measures the exact
position of physical markers placed
on the object.
• The markers are placed on the
object and some coded markers and
one or two scale bars are added.
• Images are taken with the digital
camera from different positions.
• Clouds of points from the ATOS
system were registered into the
predefined grid of marker points
defined by TRITOP.
• Evaluation software defines the
exact 3D position of the center of the
markers on the object.
The final full 3D model has been produced as a
rapid prototype sculpture by the Czech
• Long range 3D laser scanning data
courtesy GEFOS, CZ was first read into
RapidForm software (.ptx format).
• Modular model created in Maya
from single arch data
• Data triangulated and refined in
• Final .stl file output as rapid
prototyping model using Dimension
BST rapid prototyping system from
This project focuses on digital preservation
and non-destructive analysis of ancestral
puebloan architecture in the southwest United
States. For over 100 years, research within
archaeological districts such as the World
Heritage site at Mesa Verde has provided
valuable origin and cultural information to the
current day Native American cultures, the
scientific community, and the general public.
The project, in partnership with the National
Park Service at Mesa Verde and discipline
specialists at the Center for Southwest Studies
at Fort Lewis College and Arizona State
University, builds upon that significant
research through the use of non-invasive laser
scanning technologies and development of
research tools to digitally preserve and
analyze ancestral puebloan architecture and
Mensi LIDAR at Mesa Verde, Colorado
• Long range LEICA 3D laser
scanning courtesy Scott Cedarleaf
• Reflective targets used for
registering multiple scans
• Data triangulated and refined
with Leica/Cyclone software.
• Long range LEICA 3D laser scanning
courtesy Scott Cedarleaf and CyArk
• Reflective targets used for registering
• Data triangulated and refined with
LIDAR: “light detection
and ranging” for long
range 3D laser scanning.
Digital Elevation Model (DEM) from USGS is used to
create 3D terrain model for simulated landscape.
TerraGen used to mimic atmospheric and textural
effects of actual photo at lower left.