In this paper, a method for automatic stitching of radiology images based on pixel features has been presented. In this method, according to the smooth texture of radiological images and in order to increase the number of the extracted features after quality enhancement of initial radiology images, 45 degree isotropic mask is applied to each radiology image to observe the image details. After t...

Monocular visual odometry is the process of computing the egomotion of a vehicle purely from images of a single camera. This process involves extracting salient points from consecutive image pairs, matching them, and computing the motion using standard algorithms. This paper analyzes one of the most important steps toward accurate motion computation, which is outlier removal. The random sample ...

A tracking algorithm based on consensus-robust estimators was implemented for the analysis of experiments with time-projection chambers. In this work, few algorithms beyond RANSAC were successfully tested using experimental data taken AT-TPC, ACTAR and TexAT detectors. The present has a better inlier-outlier detection than simple sequential routine. Modifications in random sampling clustering i...

Aiming at the problem that detection of small planes with unobvious texture is easy to be missed in augmented reality scene, a 3D scene information enhancement method grab for proposed based on series images real taken by monocular camera. Firstly, we extract feature points from images. Secondly, match different images, and build three-dimensional sparse point cloud data camera internal paramet...

The autonomous positioning of tunneling equipment is the key to intellectualization and robotization a face. In this paper, method based on simultaneous localization mapping (SLAM) estimate body pose roadheader build navigation map roadway presented. terms estimation, an RGB-D camera used collect images, calculation model established random sample consensus (RANSAC) iterative closest point (ICP...

Malleable iron pipes are widely used in construction, manufacturing, aerospace, and many other fields. Cast malleable need to be treated flat meet the needs of different shapes sizes. This process is usually completed manually, which low efficiency subject potential safety risks. To solve this problem, a machine vision method proposed detect localize pipes. Point cloud images obtained by Random...

To prevent the problem of safety accidents caused by intrusion obstacles into railway clearance, this paper proposes an obstacle detection method based on Light Detection and Ranging (LiDAR) to obtain process rich three-dimensional (3D) information depth scene. The first preprocesses point cloud scenario collected LiDAR divide a basic area containing rails. Then, divides roadbed plane fits rail...

As an important and fundamental step in 3D reconstruction, point cloud registration aims to find rigid transformations that register two sets. The major challenge techniques is finding correct correspondences the scenes may contain many repetitive structures noise. This paper primarily concerned with improving using a priori semantic information search for correspondences. In particular, we pre...

This paper focuses on the computational optimization of RANSAC. We describe Parallel Efficient Sample Consensus (PESAC) framework that allows efficient utilization SIMD extensions and provides memory locality due to a special way storing input sequence correspondences generating batch samples per one main loop iteration. It is inspired by USAC has block structure capable implementing most moder...

Existing push robots mainly use magnetic induction technology. These devices are susceptible to external electromagnetic interference and have a low degree of intelligence. To make up for the insufficiency existing material pushing robots, at same time solve problems labor-intensive, inability in night, etc., this study, an autonomous navigation pusher robot based on 3D lidar is designed, obsta...