標題: ON THE PROBLEM OF CORRESPONDENCE IN RANGE DATA AND SOME INELASTIC USES FOR ELASTIC NETS
作者: JOSHI, A
LEE, CH
資訊工程學系
Department of Computer Science
公開日期: 1-五月-1995
摘要: In this work, the authors propose a novel method to obtain correspondence between range data across image frames using neural like mechanisms. The method is computationally efficient and tolerant of noise and missing points. Elastic nets, which evolved out of research into mechanisms to establish ordered neural projections between structures of similar geometry, are used to cast correspondence as an optimization problem. This formulation is then used to obtain approximations to the motion parameters under the assumption of rigidity (inelasticity). These parameters can be used to recover correspondence. Experimental results are presented to establish the veracity of the scheme and the method is compared to earlier attempts in this direction.
URI: http://dx.doi.org/10.1109/72.377976
http://hdl.handle.net/11536/1934
ISSN: 1045-9227
DOI: 10.1109/72.377976
期刊: IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume: 6
Issue: 3
起始頁: 716
結束頁: 723
顯示於類別:期刊論文


文件中的檔案:

  1. A1995QW24500017.pdf