Automated Digital Dental Articulation Conference Paper uri icon


  • Articulating digital dental models is often inaccurate and very time-consuming. This paper presents an automated approach to efficiently articulate digital dental models to maximum intercuspation (MI). There are two steps in our method. The first step is to position the models to an initial position based on dental curves and a point matching algorithm. The second step is to finally position the models to the MI position based on our novel approach of using iterative surface-based minimum distance mapping with collision constraints. Finally, our method was validated using 12 sets of digital dental models. The results showed that using our method the digital dental models can be accurately and effectively articulated to MI position. 2010 Springer-Verlag.

published proceedings

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

author list (cited authors)

  • Xia, J. J., Chang, Y., Gateno, J., Xiong, Z., & Zhou, X.

citation count

  • 12

complete list of authors

  • Xia, James J||Chang, Yu-Bing||Gateno, Jaime||Xiong, Zixiang||Zhou, Xiaobo

publication date

  • November 2010