Chi-Cheng Cheng

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Visual servo can be achieved by extracting motion information from the optical flow, defined as the apparent motion of brightness patterns of an image. Control performance using this technique fully depends on accurate estimation of the flow velocities. It appears that most correct values of the optical flow usually locate at the regions with image(More)
The mechatronic design process usually covers two different engineering domains: structure design and system control. The relationship between these two domains is very tight. In order to reduce the disturbance caused by parameters in either one, the domain knowledge from those two different fields needs to be integrated. So the technique of multilevel(More)
—Predictive control employs future and past information to maintain servo performance and stability in uncertain environment. Nevertheless, nonlinear friction and unknown disturbances still challenge application of predictive control to precision positioning in typical electromechanical transmission systems due to strict demands on accuracy and control(More)
Incorporating a third CCD camera into a conventional binocular is verified to be very helpful to solve translational motion. The extra device not only provides more image information, but also plays a significant role regarding the solution issue. In this paper, a novel algorithm to recover parameters for translational motion using such a parallel(More)
How can the compound eye of insects capture the prey so accurately and quickly? This interesting issue is explored from the perspective of computer vision instead of from the viewpoint of biology. The focus is on performance evaluation of noise immunity for motion recovery using the single-row superposition-type planar compound-like eye (SPCE). The SPCE(More)
Why can the compound eye of an insect capture the prey so exactly and quickly? From the biological aspect, the compound eye is excellent at detecting motion. Based on the computer vision aspect, limited studies regarding this issue exist. It has been verified that a trinocular visual system incorporating a third CCD into a traditional binocular is very(More)
Most visual tracking algorithms need more or less features of moving objects such as shape, color, dimension, and speed, etc. A three-dimensional filter based on network resonance has been developed for detection of moving objects with a specific moving velocity. This spatio-temporal approach is able to accomplish tracking tasks for unknown moving objects(More)