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):  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Pablo E. Layana Castro ◽  
Joan Carles Puchalt ◽  
Antonio-José Sánchez-Salmerón

AbstractOne of the main problems when monitoring Caenorhabditis elegans nematodes (C. elegans) is tracking their poses by automatic computer vision systems. This is a challenge given the marked flexibility that their bodies present and the different poses that can be performed during their behaviour individually, which become even more complicated when worms aggregate with others while moving. This work proposes a simple solution by combining some computer vision techniques to help to determine certain worm poses and to identify each one during aggregation or in coiled shapes. This new method is based on the distance transformation function to obtain better worm skeletons. Experiments were performed with 205 plates, each with 10, 15, 30, 60 or 100 worms, which totals 100,000 worm poses approximately. A comparison of the proposed method was made to a classic skeletonisation method to find that 2196 problematic poses had improved by between 22% and 1% on average in the pose predictions of each worm.


Author(s):  
Mirko Sgarbi ◽  
Valentina Colla ◽  
Gianluca Bioli

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.


1997 ◽  
Author(s):  
Bojian Liang ◽  
Andrew M. Wallace ◽  
Emanuele Trucco

2002 ◽  
Author(s):  
H. Riedel ◽  
A. V. Dahl ◽  
Chr. Lang ◽  
F. Zywitza ◽  
S. Marian

2010 ◽  
Vol 20 (2) ◽  
pp. 237-240
Author(s):  
V. K. De Wansa Wickramaratne ◽  
A. P. Vinogradov ◽  
V. V. Ryazanov ◽  
T. M. Dudnikova

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

CIRP Annals ◽  
2017 ◽  
Vol 66 (1) ◽  
pp. 483-486 ◽  
Author(s):  
Peter Kinnell ◽  
Tom Rymer ◽  
John Hodgson ◽  
Laura Justham ◽  
Mike Jackson
Keyword(s):  

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