Transcript ppt

A Theft-Based Approach to
3D Object Acquisition
Ronit Slyper
Jim McCann
Outline




Previous Work
Our Method
Results
Future Work
Previous Work

Commercial


Contact Scanners
Non-contact Scanners
Coordinate Measuring Machine
Laser Range Finder
Previous Work (continued)

Real-Time 3D Model Acquisition (Rusinkiewicz, Hall-Holt,
Levoy)


Structured-light rangefinder, iterative closed-points for
alignment, point-based merging and rendering algorithms
60 Hz
Weaknesses of Previous Work

Inexact



Computer-intensive


Range / accuracy tradeoff for laser rangefinders
Finite accuracy
Point alignment, triangulation
Stationary objects
Our Method

We propose a theft-based object acquisition
system




Exact surface and material acquired
No expensive hardware
Data-set may be viewed in real-time with no
expensive precomputation
For many objects, acquisition is of low time &
space complexity (i.e., trivial)
Methods

The exact theft-based method we used is
based on a heuristic we call “casing”.



Grab-and-Run
Yoink
Advanced techniques


Bribery, subterfuge, etc (see paper)
Under development: The Siggraph Blackmail
Results

Stanford bunny model
acquisition
Future Work

Additional theft-based methods


Ninjas, pirates, grad students
Punishment and arrest alleviation

Cache-based approach
Any Questions?