Zhenzhong Xiao

TL;DR: In this paper, a method for measuring object deformation in real time is proposed, which comprises the following steps: arranging and adjusting measuring equipment, namely symmetrically arranging two cameras and corresponding LED illumination lamps above a measured object, and making optical axes of the two cameras intersected in a distance of 1 meter in front of the cameras; then calibrating the cameras, namely tightly sticking mark points to the surface of an object to be measured according to the size and shape of the measured object and the measurement requirement.

TL;DR: In this paper, a method for quickly measuring a blade of a large-sized water turbine is described, which is characterized by comprising of three steps: first, sticking a mark point to the surface of the blade, then shooting a group of photos from different angles as measured primary data, and inputting the data to a computer to carry out analytic processing; by carrying out image detection for the group of photo in a measurement software, identifying the mark point in each photo and positioning the center of the mark points, and matching the marks with the same name; finally, reconstructing a

TL;DR: In this article, a three-dimensional speckle strain measurement method was proposed, which can effectively obtain high preciseness measurement results in measurements of material characteristic parameters such as full-field vibration measurement, dynamic strain measurement, high speed deformation measurement, fracture mechanics, impact excitation and dynamic material experiments.

TL;DR: In this paper, a method for measuring the deformation of a large-sized work-piece, which comprises the following steps of: firstly, placing a fixed point; secondly, sticking a deformation point; thirdly, sampling and shooting a picture; fourthly, rebuilding the information of the deformations point; fifthly, combining the coordinates; sixthly, resetting the ID of the reformation points; and seventhly, calculating the quantity of deformation quantity.

TL;DR: In this article, a calibration method for cameras of a multiple-camera system is presented, which comprises the following steps of: step 1. opening all cameras of the multiple camera system, and collecting eight images of different positions and attitudes in a calibrating template; step 2. processing the collected images, and detecting the feature points of the images; step 3, utilizing a photogrammetric method to perform relative orientation and absolute orientation on the calibrating images to determine the initial values of the parameters to be calibrated in the cameras; step 4, performing optical beam adjustment calibration on