Robot Vision 2011 Part 2 ppsx

Robot Vision 2011 Part 2 ppsx

Robot Vision 2011 Part 2 ppsx

... (August 1996) pp (565-5 72) , ISSN 026 2-885 Egelhaaf, M. & Kern, R. (20 02) . Vision in flying insects. Current Opinion in Neurobiology, Vol. 12, No. 6 (December 20 02) pp (699-706), ISSN 0059-4388 ... in the new cam- era coordinates (X c2 , Y c2 , Z c2 ) can be calculated using the equation (14). With (X c2 , Y c2 , Z c2 ), the image coordinates (x p2 , y p2 ) can be calculated us...

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Robot Vision 2011 Part 3 ppsx

Robot Vision 2011 Part 3 ppsx

... 999.59 B28 1988 125 33 530.43 17558.76 783 .24 965.80 B29 20 83 13000 524 .10 18178.87 7 72. 73 965.99 B30 21 75 135 12 521 .24 18878. 92 768.00 968.89 B31 22 63 13936 515. 82 19489 .28 761 .21 981.75 B 32 2336 ... 983. 02 B4 23 2 1459 528 .88 20 69.46 7 92. 01 964.34 B5 29 1 1893 550. 52 2689.06 824 .08 970.88 B6 365 23 49 543.56 3308.30 806.38 974.53 B7 4 12 2849 591.50 3964.0...

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Mobile Robots book 2011 Part 2 ppsx

Mobile Robots book 2011 Part 2 ppsx

... 981- 02- 49 02- 0, World Scientific, Singapore, pp. 55-90. Department of Defense (20 07). Unmanned systems soadmap, 20 07 -20 32, http://www.acq.osd.mil/usd/Unmanned %20 Systems %20 Roadmap .20 07 -20 32. pdf ... ISBN: 978-1- 424 4 -23 68 -2, Beijing, China, October 12- 15, pp. 21 0 -21 5. WinterGreen Research, Inc. (20 07), http://wintergreenresearch.com/ Zhao, Y., Fu, Z., Cao, Q.,...

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The Materials Science of Thin Films 2011 Part 2 ppsx

The Materials Science of Thin Films 2011 Part 2 ppsx

... 2* n+1 /2 ’ Lmx2n+le 2an+l ’ r(n + lj2) X~ne-ax2 Assume uo = 0. Exercises 43 where A4 is the atomic weight and CY is the sticking coefficient. The nucleus area is simply 4ar2, ... L] M I/’ (Dz - Di)’(D2 + 01) L = 12. 2 b’c’ (b + c)L = 31.1 - C @ c = 28 5~~(Z)I”( + 3L,4D) 1 = 9.14 I + D’ 3L,4D .J Figure 2- 4. 25 ’C. Units of C are L/...

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Robot Vision 2011 Part 1 pot

Robot Vision 2011 Part 1 pot

... Rotational Sur 3.96 -22 .05 0.0 0.79 0.0038 0 .20 3 Hole 1.8 -20 .08 -0. 025 1.55 0.0038 0 .20 3 Plane 1.73 - 12. 99 -0. 025 0.79 0.0038 0 .20 3 Location 0.68 - 12. 20 0.0 1 .25 0.0038 0 .20 3 Table 2. The parameters ... for a Robot Arm Moving Amidst Humans by Using Panoramic Vision. Proceedings of IEEE International Conference on Robotics & Automation (ICRA), pp. 21 83 21 88, ISBN...

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Robot Vision 2011 Part 5 docx

Robot Vision 2011 Part 5 docx

... resolution 120 ×160 pixels) Training views per object SVM nonlinear SVM linear NNC 20 8 94 .2 % 94.4 % 89.3 % 104 92. 4 % 91.1 % 87.3 % 52 90.7 % 89.7 % 84.4 % 26 86.7 % 84.5 % 79 .2 % Table 2. Correct ... L (1997). Mobile robot navigation using artificial landmarks. Journal of Robotic Systems, Vol.14, No .2, pp. 93-106, ISSN 0741 -22 23 Macedo,J.; Matthies, L.; & Manduchi, R....

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Robot Vision 2011 Part 6 potx

Robot Vision 2011 Part 6 potx

... 300 21 .2 93.14 400 23 .3 92. 52 moving 20 0 17.8 85.38 300 21 .4 88.43 400 23 .2 87.59 average 20 .9 89.81 Table 1. Moving object detection / tracking accuracy test results 3 .2 Experiments ...   1 2 1 2 1 2 { , } {( , ),( , )} where 1 ,2, , , 1 ,2, , and l l m m S S S r r l n m n n n n (10) 5. Calculate the standard deviation of each cluster.  ...

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Robot Vision 2011 Part 7 pdf

Robot Vision 2011 Part 7 pdf

... rotation angle plot for index finger Robot Vision2 42 y = 0.4049x R 2 = 0.9943 0 10 20 30 40 50 60 70 80 90 0 20 40 60 80 100 120 140 160 180 20 0 22 0 Incremental X Value,mm Crank Rotation, ... middle finger y = 0. 422 5x R 2 = 0.9943 0 10 20 30 40 50 60 70 80 90 0 20 40 60 80 100 120 140 160 180 20 0 22 0 Incremental X value, mm Crank Rotation, Degree Fig. 12. Presha...

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Robot Vision 2011 Part 9 pps

Robot Vision 2011 Part 9 pps

... = β 2 r 1 −r 2  2 = β 2  d 2 (s 1 , s 2 ) + l 2 (s 1 , s 2 )  = U(s 1 , s 2 ) (27 ) where d (s 1 , s 2 ) = s 1 −s 2 −b T 1 γ 1 + b T 2 γ 2 (28 ) l (s 1 , s 2 ) = −l w + (n T 1 γ 1 + n T 2 γ 2 ) (29 ) Note ... = β 2 r 1 −r 2  2 = β 2  d 2 (s 1 , s 2 ) + l 2 (s 1 , s 2 )  = U(s 1 , s 2 ) (27 ) where d (s 1 , s 2 ) = s 1 −s 2 −b T 1 γ...

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Robot Vision 2011 Part 12 doc

Robot Vision 2011 Part 12 doc

... 10 2 203030 23 mXmXm  0 01  01 2 020 303 23 mYmYm  1 020 20 mXm  10 2 021 1 121 2 22 mYmXmYm  01 020 2 mYm  01 2 20 1 12 121 22 mXmYmXm  (7) Robot Vision4 62 ... STEP 2 . A contour point p is flagged for deletion if the following conditions hold: 2. 1 6) (2 1  pN ; 2. 2 1)( 1 pS ; 2. 3 0 8 42  ppp ; 2. 4 0...

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