The paper presents an automatic region detection based method to reconstruct street scenes from driving recorder images. The driving recorder in this paper is a dashboard camera that collects images while the motor vehicle is moving. An enormous number of moving vehicles are included in the collected data because the typical recorders are often mounted in the front of moving vehicles and face the forward direction, which can make matching points on vehicles and guardrails unreliable. Believing that utilizing these image data can reduce street scene reconstruction and updating costs because of their low price, wide use, and extensive shooting coverage, we therefore proposed a new method, which is called the Mask automatic detecting method, to improve the structure results from the motion reconstruction. Note that we define vehicle and guardrail regions as “mask” in this paper since the features on them should be masked out to avoid poor matches. After removing the feature points in our new method, the camera poses and sparse 3D points that are reconstructed with the remaining matches. Our contrast experiments with the typical pipeline of structure from motion (SfM) reconstruction methods, such as Photosynth and VisualSFM, demonstrated that the Mask decreased the root-mean-square error (RMSE) of the pairwise matching results, which led to more accurate recovering results from the camera-relative poses. Removing features from the Mask also increased the accuracy of point clouds by nearly 30%–40% and corrected the problems of the typical methods on repeatedly reconstructing several buildings when there was only one target building.

In this letter, a fractal structure used for the miniaturized design of microstrip bandpass filter (BPF) is presented. A new resonator called Greek cross fractal resonator (GCFR) in this paper was constructed by combining the proposed fractal structure with a traditional dual-mode meandered loop resonator. Three BPFs based on the new resonator with different orders iteration were analyzed. In addition, the mode-splitting characteristic and impact of the perturbation element on the performance of the BPFs were also investigated. The simulated results show that the new fractal resonator has a certain potential in the miniaturization design and the BPFs possess acceptable frequency characteristics. Therefore, the proposed fractal structure can be used as a candidate for miniaturization technology.