The development of optics and computer technologies enables the application of the vision-based technique that uses digital cameras to the displacement measurement of large-scale structures.
However, the application of this vision can be constrained by competing university priorities such as expansion of clinical research units and, therefore, the vision must align the development of HPSR+A with the wider organizational agenda.
The aim of this article is to outline the issues involved in the application of machine vision to the automatic extraction and registration of watermarks from continuous web paper.
The application of computer vision can effectively reduce the workload of searching along the railway line.
In these applications the robustness of the vision system and the automatic settings of the infrared cameras are very important issues.
With these three applications, we have swept most of existing DFGs structures: the sequential in the application icam_simple, the fork and join in the application icam_complex, and the parallelism in the application of robotic vision.
The first book of its kind devoted to this topic, this comprehensive text/reference presents state-of-the-art research and reviews current challenges in the application of computer vision to problems in sports.
This study aims to measure the extent to which the application of single vision reading glasses alone can improve near vision.
The application of machine vision algorithms to post-process medical images offers the potential for velocity measurement to become a commonly accessible and technically viable technology.
In this work we describe the AutoCNet library, written in Python, to support the application of computer vision techniques for n-image correspondence identification in remotely sensed planetary images and subsequent bundle adjustment.
