Range image registration by neural network

  • Authors:
  • Xianfeng Wu;Dehua Li

  • Affiliations:
  • Institute of Pattern Recognition and Artificial Intelligence, the State Key Lab. for Image Processing & Intelligent control, Huazhong Univ. of Sci. & Tech wuhan, 430074, China;Institute of Pattern Recognition and Artificial Intelligence, the State Key Lab. for Image Processing & Intelligent control, Huazhong Univ. of Sci. & Tech wuhan, 430074, China

  • Venue:
  • Machine Graphics & Vision International Journal
  • Year:
  • 2003

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Abstract

Range images contain 3D coordinates of points on the object surface which are sampled by range sensors. In general, a sensor can capture only parts of the object because of occlusion and sensing limitations. A 3D model needs to be registered using multiple range images to integrate a complete one. Instead of registering range datasets with the traditional iterative closest point (ICP) method we use a new algorithm combined with image processing and artificial neural network (ANN). Experimental results show the validity and efficiency of our method.