This paper proposes a localization system using the Microsoft Kinect sensor. It is difficult to accurately measure self-position and self-posture by a red-green-blue (RGB) image sensor, since the accuracy in the depth direction of an image sensor tends to be worse than that in other directions using only an RGB image sensor. The Kinect sensor has both an RGB image sensor and a depth sensor. This sensor can directly calculate the depth value; therefore, the accuracy in the depth direction is better. In the proposed system, natural feature points are detected from an image by a Harris interest operator, and the depth data of these feature points are obtained from the depth sensor. After that, these points are tracked by the template matching method. The camera's position and posture are calculated from the position of these tracked points. Finally, we provide examples of 3D scene reconstruction and estimation results.

No abstract

We have simulated the distribution of electromagnetic (EM) waves through a system composed of miter bends by finite-difference time-domain (FDTD) simulation. To study the effect of mode conversion by miter bends, three shapes of miter bends have been simulated. For the miter bend that has processed grooves inside, the profile of the output EM waves is changed slightly from that of the input wave (HE11 mode). As a result, this case exhibits the best shape of the miter bend in our simulation. In the miter bend without processed grooves inside, the output EM waves change more than in the case of the miter bend with grooves, because mode conversion occurs at the surface in miter bends without grooves. In the simple bend, which changes the direction of EM waves gradually, the profile of the output EM waves is deformed and the input profile is not conserved. Comparing the above three cases, we found that the grooves lead to more efficient to conservation of the profile of EM waves.

No abstract

No abstract