Frauel Yann, Tajahuerce Enrique, Matoba Osamu, Castro Albertina, Javidi Bahram
IIMAS, Universidad Nacional Autónoma de Mexico, Apdo. Postal 20-726 Admon. No. 20, Del. Alvaro Obregón, 01000 México, D.F., Mexico.
Appl Opt. 2004 Jan 10;43(2):452-62. doi: 10.1364/ao.43.000452.
We present an overview of three-dimensional (3D) object recognition techniques that use active sensing by interferometric imaging (digital holography) and passive sensing by integral imaging. We describe how each technique can be used to retrieve the depth information of a 3D scene and how this information can then be used for 3D object recognition. We explore various algorithms for 3D recognition such as nonlinear correlation and target distortion tolerance. We also provide a comparison of the advantages and disadvantages of the two techniques.
我们概述了三维（3D）物体识别技术，这些技术通过干涉成像（数字全息术）进行主动传感，并通过积分成像进行被动传感。我们描述了每种技术如何用于获取三维场景的深度信息，以及该信息随后如何用于三维物体识别。我们探讨了各种三维识别算法，如非线性相关和目标失真容忍度。我们还比较了这两种技术的优缺点。
