Vision Systems - Applications Part 6 pdf

Vision Systems - Applications Part 6 pdf

Vision Systems - Applications Part 6 pdf

... Yes -2 .592 -0 .110 0.0 56 2 Yes -2 .68 4 -0 .017 0.029 3 Yes -2 .881 -0 .031 0.017 4 No -2 .901 -0 .158 0.125 5 Yes -2 .733 -0 .1 76 0.118 6 Yes -2 .751 -0 .025 0.030 7 No -2 . 863 -0 .185 0.1 46 8 No -2 .69 7 ... Yes -2 .594 -0 .112 0. 068 2 Yes -2 .68 6 -0 .027 0.028 3 Yes -2 .882 -0 .029 0.030 4 Yes -2 .895...
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Mass Transfer in Multiphase Systems and its Applications Part 6 pdf

Mass Transfer in Multiphase Systems and its Applications Part 6 pdf

... 0 .68 7.0 0.13 1 .64 0.13 1 .69 0.21 5.4 0.20 1 .66 0.20 2.17 0.32 7.8 5% 0. 26 1.77 0. 26 2 .62 0 .68 13.1 0.13 1.53 0.13 1.94 0.21 6. 3 0.20 1.98 0.20 2.23 0.32 10.2 10% 0. 26 2.08 0. 26 2.32 ... (19 96) : 4( ) cd c max QQ D kB π ⋅+ = ⋅⋅ (30) Mass Transfer in Multiphase Systems and its Applications 1 96 0 . 0 1 1 9 7 6 9 0 . 0 0 6 8 6 5 3 2 0 . 0 0 2 6...
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Dynamics of Mechanical Systems 2009 Part 6 pdf

Dynamics of Mechanical Systems 2009 Part 6 pdf

... 6 2 7 1 1 2 3 m = 2 kg, 1 m = 3 kg, 2 m = 1 kg, 3 m = 5 kg, 4 m = 4 kg 5 m = 6 kg 6 m = 3 kg 7 m = 2 kg 8 nn n nnnn nn nn a b c =+ =− + + =− + 05 0 866 0 433 0 25 0 866 075 ... Appendix II). P7 .6. 6: Repeat Problem P7 .6. 5 for a plate with a 5-in diameter circular hole centered in the left half of the plate as represented in Figure P7 .6. 6. FIGURE P7 .6. 4 A bo...
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Vision Systems - Applications Part 1 pot

Vision Systems - Applications Part 1 pot

... Sridhar R. Kundur and Daniel Raviv. (19 96) . Novel Active -Vision- Based Visual-Threat-Cue for Autonomus Navigation Tasks. Proc. CVPR' 96. pp .60 6- 6 12. Takashi Kaneko, Takahiro Ohmi, Nobuyuki ... Engineering Engineers. D-II, Vol.J80-D-II, No.9, pp.229 8-2 307. Masahiro Watanabe and Shree K. Nayer. (19 96) . Minimal Operator Set for Passive Depth from Defocus. CVPR' 96,...
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Vision Systems - Applications Part 2 pps

Vision Systems - Applications Part 2 pps

... machine vision from visual perception over active vision and vision- based control to higher-level attention functions. This chapter is concerned with multi-focal vision on the vision- based feedback ... considered in the design and application of multi-focal active vision systems. 3. Multi-Focal Active Vision Control 3.1 Vision- Based Control Strategies Vision- based feedba...
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Vision Systems - Applications Part 3 pot

Vision Systems - Applications Part 3 pot

... International Conference on Computer Vision, Volume: 1, pp. 6 6- 73, ISBN 0-7 69 5-2 334-X. De Souza, G. & Kak, A.( 2004). A Subsumptive, Hierarchical, and Distributed Vision- Based Architecture for Smart ... Robot control in hard real-time environment. Proceedings of the 4th International Workshop on Real-Time Computing Systems and Applications, pp. 152—159, ISBN 0-8...
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Vision Systems - Applications Part 4 ppt

Vision Systems - Applications Part 4 ppt

... for our practical purpose. 350 400 450 500 550 60 0 65 0 0 75 150 225 300 Real xc Estimated xc RS RS RS RS RS RS RS RS RS (a) -8 0 -6 0 -4 0 -2 0 0 20 40 60 80 0 75 150 225 300 (b) Figure 18. (a): Real ... the 2-D DWT proposed by Daubechies in [Daubechies (1988)] having the 1-D L filter: 0,0352 26 -0 ,08544 -0 ,13501 0,45988 0,8 068 9 0,33 267 (13) the LL 2 subband...
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Vision Systems - Applications Part 5 docx

Vision Systems - Applications Part 5 docx

... representation. Vision Systems: Applications 164 4.3 View-based model representation Basically, the HVS memorizes objects in an orientation dependent, view-based or appearance-based way (Edelman ... to 26. 64s for the maximum resolution of 0.25°. With a size of 284 x 2 86 x 166 mm (width x height x depth) and a weight of 7.4kg the 3DLS can be used for medium-sized or large mobil...
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Vision Systems - Applications Part 7 potx

Vision Systems - Applications Part 7 potx

... Figure 16. -4 -3 -2 -1 0 1 2 3 4 5 -4 .5 -4 -3 .5 -3 -2 .5 -2 -1 .5 -1 -0 .5 0 0.5 1 1.5 x(mm) y(mm) actual path desired path a): line paths -4 -3 -2 -1 0 1 2 3 4 -4 -3 .5 -3 -2 .5 -2 -1 .5 -1 -0 .5 0 ... path a): line paths -6 0 -4 0 -2 0 0 20 40 60 -6 0 -4 0 -2 0 0 20 40 60 X(cm ) Y(cm) desired...
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Vision Systems - Applications Part 8 ppt

Vision Systems - Applications Part 8 ppt

... follows: ¦ = = 6 1 6 1 i im QQ . 1 2 3 4 5 6 7 8 9 10 Q Low Medium High Maximum * W ε 1,0 06 0, 966 0,948 0 ,69 0 0,498 0,225 0,099 0,071 0,012 0,013 * W Δ 0 ,69 0 0,700 0 ,68 6 0 ,62 7 0,519 0,338 ... 20.38 26. 79 22 .62 32.55 25.50 Bilinear interpolation 23.00 31.10. 25. 46 33.44 25.50 Cubic convolution interpolation 23 .64 31.93 26. 64 33.72 29.39 Proposed algorithm 23.81 32...
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