快照(计算机存储)
计算机科学
数据科学
领域(数学)
医学影像学
最先进的
维数(图论)
人工智能
数学
操作系统
纯数学
作者
Jason Geng,Jennifer Y. Xie
出处
期刊:IEEE Sensors Journal
[Institute of Electrical and Electronics Engineers]
日期:2014-04-01
卷期号:14 (4): 945-960
被引量:60
标识
DOI:10.1109/jsen.2013.2294679
摘要
This paper provides an overview of state-of-the-art 3-D endoscopic imaging technologies. Physical objects in the world are 3-D, yet traditional endoscopes can only acquire 2-D images that lack depth information. This fundamental restriction greatly limits our ability to perceive and understand the complexity of real world objects. Lack of 3-D information also hinders our ability to quantitatively measure 3-D objects. In both medical imaging and industrial inspection applications, 3-D surface imaging capability would add one more dimension, literally and figuratively, to the existing imaging technologies. Over the past decades, tremendous new technologies and methods emerged in the 3-D surface imaging field. In this paper, we first provide a classification of these technologies. We then describe each category in detail, with representative designs and examples. This overview would be useful to researchers in the field since it provides a snapshot of the current state-of-the-art, from which subsequent research in meaningful directions is encouraged. This overview also contributes to the efficiency of research by preventing unnecessary duplication of already performed research.
科研通智能强力驱动
Strongly Powered by AbleSci AI