A Novel View Planning Method for Automatic Reconstruction of Unknown 3-D Objects Based on the Limit Visual Surface

Automatic reconstruction of unknown 3-D objects has been of great importance in the areas of machine vision, object recognition, and automatic modeling. In this paper, a new planning approach of generating 3-D models automatically is proposed. The new algorithm incorporates the limit visual surfaces of unknown model which are obtained according to both of the known object boundary knowledge and the visual region of the vision system and selects the suitability of viewpoints as the next best view on scanning coverage. The limit visual surfaces are used to predict the maximal information of unknown model and then the visibility criterion of next viewpoint is determined. And the position which can obtain the maximal visual surface area is defined as the next best view position. The reconstruction result of real model with proposed method show the efficiency in practical implementation.