Recognition of three dimensional object is always an interesting subject. Neural network model with its associative capability is an important approach to solving such complex problem.
三维物体的识别是有重要应用意义的课题，神经网络模型是解决该复杂问题的一个途径。
In this paper a method of the three-dimensional object recognition with rotation-invariant based on moire fringe is proposed.
本文提出一种基于莫尔条纹的三维物体旋转不变识别方法。
Technique of three-dimensional object recognition is one of the most important techniques in video tracking system and also a difficult problem in it.
三维目标识别技术是电视跟踪系统中的关键技术之一，也是目前该领域亟待解决的一个难题。
Aim a novel method for three-dimensional (3-d) object rotation-invariant recognition is proposed.
目的提出一种对三维物体进行旋转不变识别的新方法。
Aim a novel method for three-dimensional (3-d) object rotation-invariant recognition is proposed.
目的提出一种对三维物体进行旋转不变识别的新方法。
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