In many machine vision applications, a crucial step is to accurately determine the relation between the image of the object and its physical dimension by performing a calibration process. Over time, various calibration techniques have been developed. Nevertheless, the existing methods cannot satisfy the ever-increasing demands for higher accuracy performance. In this letter, an advanced geometric camera calibration technique which employs a frontal image concept and a hyper-precise control point detection scheme with digital image correlation is presented. Simulation and real experimental results have successfully demonstrated the superior of the proposed technique.
This paper describes a system that uses electronic forms to collect patient and procedure data for clinical trials. During clinical trials, patients are typically required to provide background information such as demographics and medical history, as well as review and complete any consent forms. Physicians or their assistants then usually have additional forms for recording technical data from the procedure and for gathering follow-up information from patients after completion of the procedure. This approach can lead to substantial amounts of paperwork to collect and manage over the course of a clinical trial with a large patient base. By using e-forms instead, data can be transmitted to a single, centralized database, reducing the problem of managing paper forms. Additionally, the system can provide a means for relaying information from the database to the physician on his/her portable wireless device, such as to alert the physician when a patient has completed the pre-procedure forms and is ready to begin the procedure. This feature could improve the workflow in busy clinical practices. In the future, the system could be expanded so physicians could use their portable wireless device to pull up entire hospital records and view other pre-procedure data and patient images.