1, How does shape recognition take place?

2, In this paper, classification method of SVM for shape recognition of plant disease spot was discussed.

3, It develops shape recognition, imagination, problem solving and fine motor skills.

4, Shape recognition of object is one of the important directions in pattern recognition, and is widely used in image analysis, machine vision and target discrimination, etc.

5, Hand shape recognition is an important measure in biometrics. And Hand Shape Matching(HSM) is the point of it.

6, Automatic particle shape recognition has been widely used in the research area and product development such as bacterial cells and atmospheric particles analysis.

7, This shape recognition method based on real valued boundary points is employed to match two shapes with the proportional property of the arrays of their feature values.

8, Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.

9, Shape recognition of planar curves is a fundamental problem of pattern recognition. But it has not been well resolved by now.

10, Object shape recognition is a challenging problem in the field of pattern recognition and computer vision.

11, Algebraic was derived constraint for shape recognition, and was use to shape recognition.

12, In engineering estimation, the calculation of bars shown with closed polyline is built on the bases of shape recognition.

13, The paper introduces system configuration, recognition principle, detection procedure, key technology and solutions of LED shape recognition system established on the SGI workstation.

14, Experimental results indicate that the method can improve the precision and the recall of leaf shape recognition greatly.

15, The comparison of different kernel functions for SVM shows that liner kernel function is most suitable for shape recognition of plant disease spot.

16, This paper summarizes the state of the art of the techniques on online sketchy shape recognition and semantic understanding for sketch-based user interface.

17, In the research of model - based matching for shape recognition,(http:///shape recognition.html) two algorithms for application are proposed.

18, In this paper, we discussed some key application problems of shape recognition system based on associative memory neural network.

19, For the vision of assembly robot, realizing the invariant shape recognition of mechanical workpiece is the base.

20, Face detection, face recognition, object identification, observation substrate recognition, statistical shape recognition, machine learning.