Acquisition of 3-dimensional shapes from images.

Advances in computer vision have started to infiltrate the specialty of orthodontics. During the past few years, a number of new products have appeared that are capable of extracting the 3-dimensional (3-D) structure of an object just by "looking." Examples include laser scanners for creating 3-D models of the face, and hand-held scanners for creating virtual models of the teeth. Such noninvasive methods will surely evolve rapidly and be applied to a multitude of diagnostic and therapeutic modalities, changing the way we think and practice. This article introduces the basic principles behind such technology so that we can better appreciate its advantages, limitations and possibilities. From the large number of methods for acquiring 3-D shapes from images, 4 were selected and are described below. For more comprehensive coverage, see the book by Klette et al (1).

[1]  S. Jacobs Radiographic localization of unerupted mandibular anterior teeth. , 2000, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.

[2]  T. P. Monks,et al.  Measuring the shape of time-varying objects , 1995 .

[3]  Reinhard Klette,et al.  Computer vision - three-dimensional data from images , 1998 .

[4]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[5]  J. P. Mossa,et al.  2D or not 2D? That is the question. , 2000, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.