Robust 3-D object recognition and pose estimation using 2-D image sequences

Author:

Otterbach R.

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Arman, F.; Aggarwal, J. K.: Model-Based Object Recognition in Dense Range Images - A Review. ACM Computing Surveys 25 (1993), pp. 5–43.

2. Aggarwal, J. K.; Chien, C. H.: 3-D Structures From 2-D Images. In: Sanz, J. L. C. (Ed.): Advances in Machine Vision. Springer Verlag, New York (1989), pp. 64–121.

3. Matthies, L.; Szeliski, R.; Kanade, T.: Kalman Filter-Based Algorithms for Estimating Depth from Image Sequences. In: Proc. DARPA Image Understanding Workshop, Cambridge, MA (1988), pp. 199–213.

4. Otterbach, R.: Fast and Robust 3-D Structure Estimation from Image Sequences. International Archives of Photogrammetry and Remote Sensing 30 Part 5W1 (1995), pp. 220–225.

5. Otterbach, R.; Gerdes, R.; Kammüller, R.: Fast and Robust Recognition and Localisation of 2-D Objects. In: Becker, M.; Daniel, R. W.; Loffeld, O. (Eds.): Sensors and Control for Automation, SPIE Proc. Vol. 2247 (1994), pp. 163–174.

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