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final view
500
image feature
target
450
400
350
300
250
200
150
100
50
0
0
100
200
300
400
500
Fig. 14.17 Final view of the image feature and the object
distance
245.82
245.8
245.78
245.76
245.74
245.72
245.7
245.68
0
5
10
15
20
Fig. 14.18 Distance between the object and center of the image with field of view constraints
artificial force starts to decrease the distance and constrains the object remain in the
image of the camera.
14.6
Conclusions
This chapter describes the performance of gradient projection methods to satisfy
three kinds of constraints that typically arise in visual servo applications: joint lim-
its, visual occlusion, keeping the desired objective inside view. The task function
approach provides a formalism by which a secondary task can be achieved without
disturbing the execution of the primary task. With gradient projection methods, the
secondary task corresponds to the gradient of a cost function, and this gradient is
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