Modelling of rigid objects by bidimensional moments. Applications to the estimation of 3D rotations

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In this paper the moment method has been extended to characterize an object moving in three-dimensional (3D) space. The model evolved is a function of the photometrical characteristics and variations of the projected 2D moments of the object in relation to its various positions. Here, the object is characterized by a set of appropriate moments describing it in relation to image translation and rotation. By using five separate camera images of this object in various positions, the zero-, first- and second-order reference moments could be determined. Experimental results applied to the determination of parameters of a 3D rotation have confirmed the validity of such a method.

论文关键词:Pattern recognition,2D moments,Modelling,3D motion

论文评审过程:Received 8 July 1994, Revised 17 August 1995, Accepted 20 September 1995, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/0031-3203(95)00136-0