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《Acta Optica Sinica》 2015-02
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Adaptive Point Cloud Registration Method Based on Geometric Features and Photometric Features

Wu Mengqi;Li Zhongwei;Zhong Kai;Shi Yusheng;State Key Laboratory of Material Processing and Die and Mould Technology, Huazhong University of Science and Technology;Wuhan Power 3D Technology Ltd;  
Multi-view data registration is an important step in the process of large objects three-dimensional(3D)measurement. But the available unmarked 3D surface auto-registration methods can result in unstable registration results when measuring objects with different surface feathers. Aiming to solve this problem, an adaptive 3D autoregistration algorithm is presented based on both geometric and photometric features. In this algorithm. a registration selection model is built to generate a registration judgment factor for synthetically evaluating the complexity of surface geometry and texture. Based on this model, an appropriate registration strategy can be adaptively selected to promise a reliable registration result. Moreover, random sample consensus(RANSAC)algorithm is used to remove the remaining wrong correspondence. The experiments use various registration results to illustrate the performance of the proposed method in different measurement applications.
【Fund】: 国家自然科学基金(51005090 51205149);; 国家科技支撑计划(2012BAF08B03);; 国家科技重大专项(2013ZX02104004-003_IC);; 高等学校博士学科点专项科研基金(2012142120006)
【CateGory Index】: TP391.41
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