Pattern Shift Rangefinding for Accurate Shape Information

In this paper, a high resolution space encoding method and its system is described. In principle some space sampling measurement error is generated by space encoding. The pattern shift method was previously proposed by the authors in order to reduce sampling error. Its ability is shown through simulations. In this paper, a measurement algorithm based on the pattern shift method using an actual rangefinder is presented. It is shown that the proposed method is effective in actual situations through measurement results.

[1]  Jeffrey L. Posdamer,et al.  Surface measurement by space-encoded projected beam systems , 1982, Comput. Graph. Image Process..

[2]  Yukio Sato,et al.  High Speed Rangefinder , 1988, Other Conferences.

[3]  Yukio Sato,et al.  Shape Measurement of Curved Objects Using Multiple Slit-Ray Projections , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Kazuyuki Hattori,et al.  Handy rangefinder for active robot vision , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[5]  Kazuyuki Hattori,et al.  Accurate rangefinder with laser pattern shifting , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[6]  K. Sato,et al.  Range imaging system utilizing nematic liquid crystal mask , 1987 .

[7]  Takeo Kanade,et al.  A very fast VLSI rangefinder , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.