Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 9 doc

... 12– 49, 198 8. 45. D. Peng, B. Merriman, S. Osher, H-K. Zhao, and M. Kang, “A PDE- based fast local level set method,” J. Computational Physics, vol. 255, pp. 410–438, 199 9. 46. T.F. Chan and ... 625–638, 199 4. 6. T.J. Broida and R. Chellappa, “Estimation of object motion parameters from noisy images,” IEEE Trans. Pattern Analysis, and Machine Intelligence, vol. 8, no. 1, pp....

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... global and/ or local object specific detail. Global details do not have a precise geometric location in- side the object, such as statistics of gray levels or colors, textures, etc. Lo- cal details ... symbols: capital letters, small letters, and numbers and icons like emergency exits, stairs, elevators, fire extinguishing materials, etc. The weight sets are tried se- quentially until...

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... Matching, 9th Annual Symposium CPM 98 . pp. 9 1-1 03 37 Ohyama, T; ( 199 5) “Neural network-based regions detection”. IEEE International Conference on Neural Networks. Proceedings, vol.3, nº 2; pp. 22 2-3 02. ... scene recogni- tion using a GA and real-world raw-image”, Measurement, vol. 29, pp.24 9- 2 67. 33 Mahadevan, S.; Theocharous, G., ( 199 8) “Rapid concept learning for...

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... in IEE Pro- ceedings - Vision, image and Signal Processing, 199 7. 12. P. Mueller R. Etienne-Cummings, J.Van der Spiegel and Mao-Zhu Zhang, “A foveated silicon retina for two-dimensional tracking”, ... coordinates”, in the SPIE- Intelligent robot and computer vision VIII: Algoritms and techniques, vol 93 8, pp.13 8-1 45, SPIE, Bel- lingham,WA 198 9, 199 8. 2 Foveated Visi...

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... of optical flow: Integration of ra- dio-metric and geometric cues for dynamic scene analysis”, IEEE Trans. on Pat. Analysis and Mach. Intl., vol. 20 (9) , pp. 96 1 97 9, 199 8. 71. B. Horn and B. ... and R. Navarro, “Duality of log-polar image rep- resentations in the space and spatial-frequency domains”, IEEE Transac- tions on Signal Processing, vol. 9, pp. 24 69 –24 79, 199 9...

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... Length (m) )( ˆ mL error )( ˆ mL error 0 .93 0.0 290 -9 6% 1.0278 10.5% 1.14 0.128 -8 9. 3% 1.061 -7 .0% 1.31 0.1213 -9 0% 1.415 7 .9% 1.46 0.1577 -8 9% 1.50 2.6% 4 Continuous Reinforcement Learning Algorithm for Skills Learning ... August, 199 4. 19 Zhuang H and Roth SZ( 199 3), A linear solution to the kinematic pa- rameter identification of robot manipulators...

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... robot , in Proceedings of the IEEE/RSJ/GI. International Conference on Intelligent Robots and Systems. Advanced Robotic System and the Real World., 199 4, pp. 290 – 297 . 22 O. Khatib, “Real-time ... International Conference on Robotics and Automation, 199 9, pp. 2 799 –2804. 15 M. J. Mataric, Interaction and Intelligent Behavior, PhD thesis, Massachusetts Institute of Technol...

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... 194 G. Unal et al. Fig. 5.15. A walking person (Frames shown L-R-top-bottom) is tracked by the polygonal tracker 180 G. Unal et al. Fig. 5.5. Two rays-swimming video noisy ... outward unit normal of edge (P kí1 í P k) (resp. (P k í P k+1)), and L parameterizes a line between P kí1 and P k or P k and P k+1. We note the similarity between this polygonal evolution equation ......

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... α-shape of a finite point set S is a polytope uniquely determined by S and the param- eter α that controls the level-of-detail. A subset T ⊆ S of size |T | = k +1with 0 ≤ k ≤ 2 belongs to a set ... region-growing method, projection method, and sculpting-based method. In the next sub-sections we will ex- plain each of these categories. 6.4.1 Volumetric Methods The volumetric method consists...

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