References
- Lee, D. H., Bae, S. G., Seo, D. H., Kang, H. S., and Bae, J. M., "Development of an HTM Network Training System for Recognition of Molding Parts," Journal of Korea Multimedia Society, Vol. 13, No 11, pp. 1643-1656, 2010.
- Lee, S. H., Seo, M. H., and Jung, T. C., "Development of Automatic Nut Inspection System using Image Processing," Journal of Korea Information Processing Society A, Vol. 11-A, No. 4, pp. 235-242, 2004. https://doi.org/10.3745/KIPSTA.2004.11A.4.235
- Kim, J. Y. and Cho, H. S., "Design of a visual sensing system for flexible parts assembly," Korean Journal of Optics and Photonics, Vol. 13, No. 4, pp. 283-288, 2002. https://doi.org/10.3807/KJOP.2002.13.4.283
- Lee, W. H., Cho, S. H., Seol, K. H., Ju, D. H., and Kim, D. Y., "A Study on Watershed Region Extraction Based on Edge Information," IPIU, The institute of Electronics Engineering of Korea, pp. 449-452, 2003.
- Lee, J. Y., Kim, S. Y., and Ko, K. S., "Recognition of partially occluded object using property of vector on the boundary segments," Signal Processing, The institute of Electronics Engineering of Korea, Vol. 6, No. 1, pp. 371-374, 1993.
- Ha, S. S., Park, S. B., Lee, B. H., Han, Y. J., and Han, H. S., "The development on a recognition system of assembly parts using a hardware independent image module," The institute of Electronics Engineering of Korea, Vol. 29, No. 1, pp. 969-970, 2006.
- Bae, S. G., Lee, D. H., Cho, G. H., Nam, H. B., Sung, G. Y., Bae, J. M., and Kang, H. S., "Development of an HTM-Based Parts Image Recognition System for Small Scale Manufacturing Industry," Journal of Korea Information Processing Society D, Vol. 16-D, No. 4, pp. 613-620, 2009. https://doi.org/10.3745/KIPSTD.2009.16-D.4.613
- Oh, J. K., Lee, S. H., and Lee, C. H., "Stereo Vision Based Automation for a Bin-Picking Solution," International Journal of Control, Automation, and Systems, Vol. 10, No. 2, pp. 362-373, 2012. https://doi.org/10.1007/s12555-012-0216-9
- Kazuya, O., Toshihiro, H., Masakazu, F., Nobuhiro, S., and Mitsuharu, S., "Development for Industrial Robotics Applications," IHI Engineering review, Vol. 42, No. 2, pp. 103-107, 2009.
- Rahardja, K. and Kosaka, A., "Vision-based binpicking: Recognition and localization of multiple complex objects using simple visual cues," Proc. of IEEE International Conference on Intelligent Robots and System, Vol. 3, pp. 1448-1457, 1996.
- Belongie, S., Malik, J., and Puzicha, J., "Shape matching and object recognition using shape contexts," IEEE Trans. on Pattern Anal. Mach. Intel., Vol. 24, No. 24, pp. 509-522, 2004.
- Lu, C., Adluru, N., Ling, H., Zhu, G., and Latecki, L. J., "Contour based object detection using part bundle," Journal of Computer Vision and Image Understanding, Vol. 114, No. 7, pp. 827-834, 2010. https://doi.org/10.1016/j.cviu.2010.03.009
- Ferrari, V., Fevrier, L., Jurie, F., and Schmid, C., "Groups of adjacent contour segments for object detection," IEEE Trans. on Pattern Anal. Mach. Intel., Vol. 30, No. 1, pp. 36-51, 2008. https://doi.org/10.1109/TPAMI.2007.1144
- Felzenszwalb, P. F. and Schwartz, J., "Hierarchical matching of deformable shapes," Computer Vision and Pattern Recognition, pp. 1-8, 2007.
- Lee, D. and Nixon, M. S., "Vision-based finger action recognition by angle detection and contour analysis," ETRI Journal, Vol. 33, No. 3, pp. 415-422, 2011. https://doi.org/10.4218/etrij.11.0110.0313
- Ferrari, V., Jurie, F., and Schmid, C., "Accurate object detection with deformable shape models learnt from images," Computer Vision and Pattern Recognition, pp. 1-8, 2007.
- Felzenszwalb, P., "Representation and detection of deformable shapes," PAMI, Vol. 27, No. 2, pp. 208- 220, 2005. https://doi.org/10.1109/TPAMI.2005.35
- Martin, D., Fowlkes, C., and Malik, J., "Learning to detect natural image boundaries using local brightness, color, and texture cues," PAMI, Vol. 26, No. 5, pp. 530-549, 2004. https://doi.org/10.1109/TPAMI.2004.1273918
- Ueda, N. and Suzuki, S., "Learning visual models from shape contours using multiscale convex/concave structure matching," PAMI, Vol. 15, No. 4, pp. 337- 352, 1993. https://doi.org/10.1109/34.206954
- Shafait, F., Keysers, D., and Breuel, T. M., "Efficient implementation of local adaptive thresholding techniques using integral images," Proc. of Efficient implementation of local adaptive thresholding techniques using integral images, Vol. 6815, pp. 10- 16, 2008.
- Kosko, B., "Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence," Prentice-Hall International, pp. 197-211, 1992.
Cited by
- Output Characteristic of a Flexible Tactile Sensor Manufactured by 3D Printing Technique vol.31, pp.2, 2014, https://doi.org/10.7736/KSPE.2014.31.2.149
- A Method for Rear-side Vehicle Detection and Tracking with Vision System vol.31, pp.3, 2014, https://doi.org/10.7736/KSPE.2014.31.3.233
- Evaluation of Robot Vision Control Scheme Based on EKF Method for Slender Bar Placement in the Appearance of Obstacles vol.32, pp.5, 2015, https://doi.org/10.7736/KSPE.2015.32.5.471