Name
Abstract | ||
|---|---|---|
In this paper, the observation technique on the micro environments with a real-time virtual reality camera system, which is constructed with a dynamic focusing lens and a smart vision sensor using the 驴depth from focus驴 criteria, has been discussed In the operation with a microscope, such as the micro-surgery, DNA operation and etc., the small depth of a focus makes bad controllability to actuate 3D micro objects with actuators. For example, if the focus is on the object, the actuator could not be seen in the microscope. On the other hand, if the focus is on the actuator, the object could not be observed. In this sense, the image, which includes all image information is at teach focus values, i.e. 驴all-in-focus image驴 is useful to actuate objects in microenvironments. However, one drawback on the all-in-focus image is that there is no information about the depth of objects. Then, it is also important to reconstruct a micro 3D environment in real-time to actuate objects in the micro virtual environments. Important factors to realize real-time system with the 驴depth from focus驴 criteria, which can obtain the all-in-focus image and micro 3Dreconstruction, simultaneously, had been discussed. Finally, the real-time system is constructed by a dynamic focusing lens, which can change the focus 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/ICPR.2000.902963 | ICPR |
Keywords | Field | DocType |
small depth,micro object,image data,real-time virtual reality camera,real-time micro environmental observation,virtual reality,micro environment,all-in-focus image,image information,micro virtual environment,focus value,real-time system,vision system,virtual environment,real time system,high frequency,smart cameras,image reconstruction,lenses,real time systems,real time,computer vision,intelligent sensors,3d reconstruction | Computer vision,Virtual machine,Virtual reality,Machine vision,Computer science,Intelligent sensor,Smart camera,Real-time operating system,Lens (optics),Artificial intelligence,3D reconstruction | Conference |
ISSN | Citations | PageRank |
1051-4651 | 0 | 0.34 |
References | Authors | |
4 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| kohtaro ohba | 1 | 317 | 66.11 |
| jesus carlos pedraza ortega | 2 | 17 | 5.94 |
| kazuo tanie | 3 | 2105 | 345.46 |
| gakuyoshi rin | 4 | 5 | 1.71 |
| ryoichi dangi | 5 | 5 | 1.71 |
| g takei | 6 | 0 | 0.34 |
| toru kaneko | 7 | 0 | 0.34 |
| nobuaki kawahara | 8 | 5 | 1.71 |