Measurement errors in polarization-based 3D vision systems

1997 ◽  
Author(s):  
Bojian Liang ◽  
Andrew M. Wallace ◽  
Emanuele Trucco
Keyword(s):  
Measurement Errors ◽  
Vision Systems ◽  
3D Vision

scholarly journals A New Method for Characterizing Bark Microrelief Using 3D Vision Systems

Forests ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 30 ◽  
Author(s):  
Andrzej Sioma ◽  
Jarosław Socha ◽  
Anna Klamerus-Iwan
Keyword(s):  
New Method ◽  
Vision Systems ◽  
3D Vision

A 3D Vision-Based Solution for Product Picking In Industrial Applications

2010 ◽  
pp. 190-208
Author(s):  
Mirko Sgarbi ◽  
Valentina Colla ◽  
Gianluca Bioli
Keyword(s):  
Robot Manipulator ◽  
Vision System ◽  
Conveyor Belt ◽  
Industrial Applications ◽  
Vision Systems ◽  
3D Vision ◽  
Key Factor ◽  
Control Assembly ◽  
Single Marker ◽  
Bin Picking

Computer vision is nowadays a key factor in many manufacturing processes. Among all possible applications like quality control, assembly verification and component tracking, the robot guidance for pick and place operations can assume an important role in increasing the automation level of production lines. While 3D vision systems are now emerging as valid solutions in bin-picking applications, where objects are randomly placed inside a box, 2D vision systems are widely and successfully adopted when objects are placed on a conveyor belt and the robot manipulator can grasp the object by exploiting only the 2D information. On the other hand, there are many real-world applications where the 3rd dimension is required by the picking system. For example, the objects can differ in their height or they can be manually placed in front of the camera without any constraint on the distance between the object and the camera itself. Although a 3D vision system could represent a possible solution, 3D systems are more complex, more expensive and less compact than 2D vision systems. This chapter describes a monocular system useful for picking applications. It can estimate the 3D position of a single marker attached to the target object assuming that the orientation of the object is approximately known.

Precision Positioning With Force Sensing and Fuzzy Control

1991 ◽  
Author(s):  
H. Gürocak ◽  
A. de Sam Lazaro
Keyword(s):  
Fuzzy Control ◽  
Measurement Errors ◽  
Use Of Force ◽  
Force Sensing ◽  
Precision Positioning ◽  
Vision Systems ◽  
System Noise ◽  
Manipulator Control ◽  
Established Technique

Abstract The use of force feed back for manipulator control is a well established technique. However, measurement inaccuracies and system noise precluded any practical deployment of this method. In this paper an approach to force sensing and measurement will be discussed. A method of accounting for measurement errors and system noise will be introduced. The use of fuzzy control for fine positioning will be presented. The method described in this paper provides an inexpensive alternative to vision systems using a software approach.

Digital Projector Calibration for 3-D Active Vision Systems

2000 ◽  
Vol 124 (1) ◽  
pp. 126-134 ◽  
Author(s):  
Tzung-Sz Shen ◽  
Chia-Hsiang Menq
Keyword(s):  
Rigid Body ◽  
Measurement Errors ◽  
Structured Light ◽  
Active Vision ◽  
Calibration Method ◽  
Lens Distortion ◽  
Vision Systems ◽  
Projector Calibration ◽  
Rigid Body Transformation ◽  
Light Beams

3-D active vision systems that project artificial structured light for coordinate measurements have been adopted in many industrial applications. With advances of electronic projection display technology, the digital projector is becoming an important component of various 3-D active vision systems. However, current projector models or structured light calibration techniques for 3-D active vision systems are limited to stripe-type structured light and the majority of them do not consider projector lens distortion. In order to overcome these limitations, a digital projector calibration method is developed to calibrate light beams projected from all pixel elements of a digital projector. Since the digital projector is fully programmable, various structured light patterns can be projected for coordinate acquisition, whose models can be obtained by interpolating parameters of light beams that synthesize the structured light patterns. With proper interpolation functions, experimental results indicate that the projector lens distortion can be successfully compensated and measurement errors are significantly reduced. When the digital projector is moved, a simple rigid body transformation calibration method is developed to rapidly obtain the transformation without re-calibrating the projector. The precision of the 3-D active vision system using the proposed digital projector calibration method and rigid body transformation calibration technique is experimentally evaluated.

3D Vision Systems for Active Safety

2002 ◽  
Author(s):  
H. Riedel ◽  
A. V. Dahl ◽  
Chr. Lang ◽  
F. Zywitza ◽  
S. Marian
Keyword(s):  
Active Safety ◽  
Vision Systems ◽  
3D Vision

A method for automatic calibration of 3D vision systems by means of high-resolution data

2010 ◽  
Vol 20 (2) ◽  
pp. 237-240
Author(s):  
V. K. De Wansa Wickramaratne ◽  
A. P. Vinogradov ◽  
V. V. Ryazanov ◽  
T. M. Dudnikova
Keyword(s):  
High Resolution ◽  
Automatic Calibration ◽  
Vision Systems ◽  
3D Vision ◽  
High Resolution Data ◽  
Resolution Data

Neuartige 3D-Visionssysteme auf der Basis 264 Layout-optimierter PMD-Strukturen/ Novel 3D-Vision Systems based on Layout Optimized PMD-Structures

1998 ◽  
Vol 65 (7-8) ◽  
Author(s):  
Rudolf Schwarte ◽  
Horst G. Heinol ◽  
Bernd Buxbaum ◽  
Zhanping Xu ◽  
Thorsten Ringbeck ◽  
...  
Keyword(s):  
Vision Systems ◽  
3D Vision
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