Title
Real-Time Micro Observation Technique For Tele-Micro-Operation
Abstract
In this paper, a real-time observation technique for the tele-micro-operation has been proposed with a dynamic focusing lens and a smart vision sensor using the "depth from focus" criteria.On. the operation of micro objects, such as the microsurgery, DNA operation and etc., the small depth of a focus on the microscope makes bad observability. For example, if the focus is on the object, the actuator could not be seen with the microscope. On the other hand, if the focus is on the actuator, the object could not be observed.The "alt-in-focus image" is useful to observe the micro environments with the microscope. However, one drawback on the all-in-focus image is that there is no information about the depth of objects. It is also important to reconstruct the micro SD environments in real-time to actuate the micro objects in the micro virtual environments.This paper discusses, firstly, the criteria of "depth from focus" to achieve the all-in-focus image and the micro 3D environments' reconstruction, simultaneously. Then, a real-time VR micro camera system has been proposed to achieve the micro VR environments with the "depth from focus" criteria, i.e. the combination of the all-in-focus image and the micro 3D construction. This system is constructed with a dynamic focusing lent;, which could change the focal distance of lens in high frequency, and a smart vision system, which is capable in capturing and processing the image data in high speed with SIMD architecture.
Year
DOI
Venue
2000
10.1109/IROS.2000.894677
2000 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2000), VOLS 1-3, PROCEEDINGS
Keywords
Field
DocType
computer vision,virtual reality,actuators,actuator,image reconstruction,high frequency,vision system,lenses,intelligent sensors,dna,virtual environment,real time,microscopy,image sensors,real time systems,surgery
Iterative reconstruction,Computer vision,Virtual reality,Machine vision,Image sensor,Intelligent sensor,Computer science,Focal length,Lens (optics),Artificial intelligence,Actuator
Conference
Citations 
PageRank 
References 
4
0.95
5
Authors
8
Name
Order
Citations
PageRank
kohtaro ohba131766.11
jesus carlos pedraza ortega2175.94
kazuo tanie32105345.46
gakuyoshi rin451.71
ryoichi dangi551.71
Yoshinori Takei6327.60
Takeshi Kaneko7285.15
nobuaki kawahara851.71