Active Method

Abstract: A three-year study was conducted in search of a better method of teaching physiology that would enhance the critical thinking skills of first-year nursing students in Istanbul University, Florence Nightingale College of Nursing. Three different methods of teaching were used: 1) a straight lecture method, 2) an active method with no previous preparation of students, 3) an active method with previous preparation. Each method was evaluated by end-of-term marks, student feedback in that year, and a follow-up the next year by questionnaires distributed to both students and nursing teachers. The results of end-of-term examinations and Student Acceptance Indexes, as well as comments of nursing teachers, show that the active method of teaching is better than straight lecture and that the active method is most effective when students are familiarized with it beforehand.

Abstract: The measurement of the 3D coordinates of an object surface from a 2D image has been significant in the areas of computer vision, pattern recognition, and machine learning, among others. In particular, it has gained much attention in practical fields, such as 3D camera system, automotive vision system, etc. This paper suggests an approach for the reconstruction of a 3D object surface from a 2D image that was captured by a camera. The camera captures the object overlaid with a set of concentric, circular-shaped light patterns. In the experiment, the geometric information of the light patterns, and the intrinsic and extrinsic parameters provide a mathematical model to achieve a 3D reconstruction result. The reconstruction is carried out on the basis of the relationship between the projected circular patterns and the deformed patterns by a 3D object surface. This paper primarily deals with establishing a mathematical proof of concept for 3D reconstruction by using structured circular light patterns.