Multimedia  

 

Volume 23 Issue 12 - Publication Date: 1 December 2004
 
Stereoscopic Light Stripe Scanning: Interference Rejection, Error Minimization and Calibration
 
Geoffrey Taylor and Lindsay Kleeman Department of Electrical and Computer Systems Engineering, Monash University, Clayton 3800, Victoria, Australia
 
This paper addresses the problem of rejecting interference due to secondary specular reflections, cross-talk and other mechanisms in an active light stripe scanner for robotic applications. Conventional scanning methods control the environment to ensure the brightness of the stripe exceeds that of all other features. However, this assumption is likely to be violated for a robot operating in an uncontrolled environment. Robust scanning methods already exist, but suffer from problems including assumed scene structure, acquisition delay, lack of error recovery, and incorrect modeling of measurement noise. We propose a robust technique that overcomes these problems, using two cameras and knowledge of the light plane orientation to disambiguate the primary reflection from spurious measurements. Unlike other robust techniques, our validation and reconstruction algorithms are optimal with respect to sensor noise. Furthermore, we propose a procedure to calibrate the system using measurements of an arbitrary non-planar target, providing robust validation independently of ranging accuracy. Finally, our robust techniques allow the sensor to operate in ambient indoor light, allowing color and range to be implicitly registered. An experimental scanner demonstrates the effectiveness of the proposed techniques. Source code and sample data are provided in the multimedia extensions.
 
Multimedia Key
= Video = Data = Code = Image
 
Extension
Type
Description
1
Example One: VRML 97 model of single-camera range map for mirror scene (1.1 MB)
2
Example Two: VRML 97 model of doublecamera range map for mirror scene (0.8 MB)
3
Example Three: VRML97 model of robust scanner range map for mirror scene (1.0 MB)
4
Example Four: VRML97 model of typical domestic objects (1.4 MB)
5
Example Five: VRML97 model of typical domestic objects (1.4 MB)
6
Example Six: C++ source code for light stripe calibration/noise rejection with sample results (78 kb)
7
Example Seven: Rawstereo image sequence of corner calibration target scan [zip file] (31.6 MB)
8
Example Eight: Rawstereo image sequence of mirror experiment scan [zip file] (44.8 MB)
 
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