By H. Bunke, S. Günter, X. Jiang (auth.), Sameer Singh, Nabeel Murshed, Walter Kropatsch (eds.)
The paper is geared up as follows: In part 2, we describe the no- orientation-discontinuity interfering version in response to a Gaussian stochastic version in interpreting the houses of the interfering strokes. In part three, we describe the enhanced canny aspect detector with an ed- orientation constraint to realize the sides and recuperate the susceptible ones of the foreground phrases and characters; In part four, we illustrate, talk about and assessment the experimental result of the proposed strategy, demonstrating that our set of rules considerably improves the segmentation caliber; part five concludes this paper. 2. The norm-orientation-discontinuity interfering stroke version determine 2 exhibits 3 commonplace samples of unique photograph segments from the unique files and their value of the detected edges respectively. The value of the gradient is switched over into the grey point price. The darker the sting is, the bigger is the gradient importance. it really is seen that the topmost robust edges correspond to foreground edges. it may be famous that, whereas often, the foreground writing looks darker than the history photo, as proven in pattern picture determine 2(a), there are situations the place the foreground and heritage have comparable intensities as proven in determine 2(b), or worst nonetheless, the historical past is extra well known than the foreground as in determine 2(c). So utilizing merely the depth worth isn't adequate to distinguish the foreground from the heritage. (a) (b) (c) (d) (e) (f)
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Additional resources for Advances in Pattern Recognition — ICAPR 2001: Second International Conference Rio de Janeiro, Brazil, March 11–14, 2001 Proceedings
3. Brachiation motion of a long-armed ape Fig. 4. B13-link brachiation robot Learning and Adaptation in Robotics 19 Task Robot Evaluator Brachiation Activation Value rb1 Behavior Coordinator Preliminary Swing rp1 Behavior Controller rs1 Leg Swing Feedback Controller rb3 rb2 Secondary Swing Activation Value rp2 rs2 Body Rotation 1 Locomotion rl1 Leg Stretch rl2 rl3 Body Rotation 2 Activation Value rl4 Body Lift Arm Reaching Desired Trajectory Right Knee Left Knee Right Thigh Left Thigh DCMotor DCMotor DCMotor DCMotor Wrist of Shoulder Shoulder Elbow of Catching of Catching of Catching Catching A rm A rm Arm Arm Wrist of Shoulder Shoulder Elbow of Free Arm of FreeArm of Free Arm Free Arm DCMotor DCMotor DCMotor DCMotor DCMotor DCMotor DCMotor DCMotor Video Tracking System Encorder Environment Fig.
Each technique plays the peculiar role for intelligent function. There are not complete techniques for realizing all features of intelligence. Therefore, we should integrate and combine some techniques to compensate the disadvantages of each technique. The main characteristics of NN are to classify or recognize patterns, and to adapt itself to dynamic environments by learning, but the mapping structure of NN is a black box and incomprehensible. On the other hand, FL has been applied for representing human linguistic rules and classifying numerical information into symbolic class.
Kondo, Brachiation Type of Mobile Robot, Proc. IEEE Int. Conf. Advanced Robotics, pp. 915-920,(1991). 24. Spong, M. , Swing Up Control of the Acrobot, Proc. 1994 IEEE International Conference on Robotics and Automation, pp. 2356-2361, (1994) 25. F. Saito, T. Fukuda, F. Arai, Swing and Locomotion Control for a Two-Link Brachiation Robot, IEEE Control Systems, Vol. 14, No. 1, pp. 5-12, (1994). 26. F. Saito, T. Fukuda, F. Arai, Swing and Locomotion Control for Two-Link Brachiation Robot, 1993 IEEE International Conference on Robotics and Automation, Atlanta, pp.
Advances in Pattern Recognition — ICAPR 2001: Second International Conference Rio de Janeiro, Brazil, March 11–14, 2001 Proceedings by H. Bunke, S. Günter, X. Jiang (auth.), Sameer Singh, Nabeel Murshed, Walter Kropatsch (eds.)