Sketch recognition with continuous feedback based on incremental intention extraction

  • Authors:
  • Junfeng Li;Xiwen Zhang;Xiang Ao;Guozhong Dai

  • Affiliations:
  • Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China

  • Venue:
  • Proceedings of the 10th international conference on Intelligent user interfaces
  • Year:
  • 2005

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Abstract

On-line synchronous sketch recognition has the advantages of convenient input and natural interaction. But among the existing algorithms, some are just able to process simple sketches, and some have so high computational complexity as not to satisfy the real-time demand. In order to solve the problem of efficiency and coverage, a sketch recognition algorithm based on incremental intention extraction is presented. By defining the lag window, the algorithm understands the sketch intention of users on the base of incremental intention extraction. Moreover, the algorithm can update the existing intention sections according to the latest information in order that the recognition results are in line with the sketch intention of users. Experiments show that, the algorithm can recognize kinds of sketches in real time.