Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 14 ppsx
... Technical Report 197 6-2 8, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, Massachusetts, USA, June 1976. Group 32. [4] Ali Azarbayejani and Alex Pentland. Real-time self-calibrating ... user. In real-world com- petence, the dialogue is psychologically expected to gain user's satisfaction by machines allowing users to induce behavioral plans related to social c...
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... Perception for Human Motion Understanding alphabet for all tasks but rather many alphabets each suited to a group of tasks. Therefore we need an algorithm for automatically generating and se- lecting ... mechanisms allow the development of rich, full- body human-computer interface systems. These systems are applicable to desk- and room-scaled systems, theatrical devices, physical therap...
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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 ... d Fig. 1 .14. Examples of target box This function provides a measure for each d i value; it is evaluated along the diagonals for each target box, and averaged through all target boxes...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 3 pps
... analysis and computer vision 1999 [sur- vey]”. Computer Vision and Image Understanding, vol. 78 nº 2, pp 22 2-3 02. 50 M. Mata et al. have shown its utility for both artificial and natural landmarks; ... scene image using genetic algorithms and neural networks”. Interna- tional Conference on Industrial Electronics, Control and Instrumenta- tion, pp.183 8-1 843. 2 Argamon-...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 4 potx
... Mueller R. Etienne-Cummings, J.Van der Spiegel and Mao-Zhu Zhang, “A foveated silicon retina for two-dimensional tracking”, IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, ... spatial domain vision op- erations. Next section presents classic vision algorithms (space-variant op- tical flow, stereo disparity, anisotropic diffusion, corner detection and et...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 5 ppt
... inertial and visual mechanisms in the stabilization of gaze in natural and artificial systems, From: Motion Vision Computational, Neural, and Echological Con- straints, Eds. J. M. Zanker and ... human visual system : functional and topological transformation performed in the periferal visual field”, Biological Cyber- netics, vol. 44, 1982. 102 Y. Sun et al. model of the rob...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 6 pdf
... discrete wavelet analysis will be used to decompose the raw signal into several signals with different bandwidths. This algorithm makes the signal, in this case, the raw angular velocity signal ... International Journal of Robotics Research, pages 36 6-3 81, vol .14, No.4, 1995. 4 Choi A (1997), Real-Time fundamental frequency estimation by least- square fitting, LIEEE Transactions on...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 7 pot
... robot , IEEE Journal of Robotics and Automation, RA-2(1), pp. 14 23, 1986. 168 G. Unal et al. Usage of this high level semantic information yields robust algorithms at a high computational ... consists of the robot going towards a goal which is a visual target. First of all, the robot moves the turret to center the target on the image and then the robot moves towards the t...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 8 pptx
... 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 version ... 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 equat...
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