1. As a special computer vision system, the Vehicle License Plate Recognition (VLPR) System can capture a vehicle automatically and identify the numbers in the image.

2. The computer vision system using the presented defect detection method and image extraction technology can save time and raise precision.

3. As same as other problems in computer vision, the homography matrix computation is very sensitive to noise.

4. Binocular 3D Computer Vision metrical method was employed to measure the displacement of greater tuberosity relative to the humeral diaphysis.

5. The computer vision technique studied in this paper is applicable to cotton-picking robot, the research results and method are also referencable to other picking robot.

6. The LPR system is a special computer vision system in the real - time case.

7. Open Source Computer Vision Library, it incorporates a lot of universal algorithm for image processing and computer vision.

8. The preliminary study shows that computer vision method has the advantages of a noncontact, three-dimensional measurement, high speed and well correlates with the stylus tracing method.

9. Automatic License Plate Recognition System is a specific computer vision system based on the specific goals of the vehicle license.

10. A tool presetting measuring system based on computer vision measurement is introduced, and the measurement principle and system construction are analyzed.

11. This hardware can be applied to real-time computer vision systems, such as for obstacle detection, motion estimation, UAV/MAV's stability control and so on.

12. This paper puts forward the detection principle of computer vision based shape characteristic of solid contaminant.

13. Subareas of image processing include image enhancement, pattern detection and recognition and scene analysis and computer vision.

14. The boundary of the area of interest is located by using chain code method and precise boundary tracking method with a computer vision system.

15. Rotational symmetry is one of the important structural properties of shape analysis in computer vision.

16. Multiscale and Scale Space theory are important methods in Computer Vision and are deeply rooted in neur- physiology.

17. Moving objects detection is an important research aspect of computer vision and video processing.

17. try its best to gather and make good sentences.

18. Detection and tracking of moving objects are the main contents of researching for computer vision and image encoding, which has an extensive applicative prospect.

19. The mixed regressing model for clinker block size and temperature obtained from the inside of the rotary kiln is built up by using computer vision and the technology of image processing.

20. To discover intrinsic properties of a scene by using the computation of cross ratio invariance has been one of the most hot research areas in computer vision fields.

21. The accuracy of segmentation directly affects the success of computer vision project.

22. In order to achieve autonomous flight of micro helicopter, a real-time computer vision system is presented in this paper.

23. During this course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction.

24. Therefore, it is necessary to realize quantitive and objective glossoscopy using techniques such as computer vision.

25. A method for measurement of area and moment of inertia of plane figures grabbed by computer vision system is presented in this paper.

26. Chain code is an effective expressing form in the field of computer vision, but it is sensitive to noise.

27. The paper designed an automatic high precision ceramic tile quality control system based on computer vision.

28. Facial feature point location is one of the fundamental and crucial problems in the field of facial recognition, computer vision and graphics.

29. Topics will be tackled from multiple standpoints , including optics, psychophysics, computer graphics and computer vision.

30. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction.

31. In complex environment, intelligent computer vision system can meet the needs of accurate recognition object.

32. The paper presents the working process of mushroom pickup robot, the emphasis is put on the discussion of the basic algorithm of image analysis used in its computer vision system.

33. Human pose estimation is an essential issue in computer vision area since it has many applications such as human activity analysis, human computer interaction and visual surveillance.

34. Texture Synthesis is one of the hotspots in computer graphics, computer vision and image processing.

35. In the field of computer vision, the ability to distinguish specular reflection from diffuse reflection is very important .

36. Color character analysis plays an important role in the computer vision system.

37. When applying image analysis and computer vision system to aggregate particles, the first working step is image acquisition. The quality of images mainly depends on how to acquire images.

38. The distortion center must be solved in order to correct the image distortion resulting from the lens in computer vision system.

39. Computer vision model is the knowledge for a computer to accomplish a vision task.

40. The gait as one of biometrics has recently drawn attention to the computer vision researchers.

41. Topics are tackled from multiple standpoints, including optics, psychophysics, computer graphics and computer vision.

42. In computer grading system for beef, the segmentation of rib-eye image of beef carcass and the abstraction of marbling are the objects of inspection for beef carcass grading based on computer vision.

43. Longissimus dorsi is the object of inspection for beef carcass grading based on computer vision, and marbling is a major index.

44. Being a special computer vision system in the real-time case, the LPR system mainly includes the subsystem of license plate detection and character recognition.

45. As a special computer vision system, the Vehicle License Plate Recognition System can capture a vehicle automatically and identify the numbers in the image.

46. Fundamental matrix method is one of the hotspots in computer vision recently.

47. The computer vision system based on dynamic scene analysis has been a key research problem recently, especial for the movement parameters of the moving objects.

47. is a online sentence dictionary, on which you can find nice sentences for a large number of words.

48. In this paper, we develop an automated inspection device by computer vision and mechanical automatization technology, to realize the automated inspection on integrated circuit chip pin size.

49. Geometric shape description is one of the main research topics in computer graphics, computer vision and pattern recognition.

50. The realistic significance of applying computer vision to fabric defect detection is analyzed firstly.

51. The verticality of cylinder is often inspected in the application of computer vision inspection.

52. Aiming at the shortcomings of traditional edge detection methods, considering the features of computer vision measurement, a practical contour extraction method is introduced.

53. The accuracy of camera's calibration is crucial to the reliability of measurement in the computer vision system.

54. To get a color descriptor that is robust to illumination and has the color constancy function is very important for the entire computer vision system.

55. The moving target detection is the main research content of the computer vision and image encoding which has an extensive application prospect.

56. An advanced computer vision system for the recognition of the location and orientation of industrial objects is described.

57. As a comprehensive real-time computer vision system, the vehicles license plate recognition (LPR) mainly includes the division of license plate localization and recognition of character.

58. Being a special computer vision system in the real-time case, the LPR (License Plate Recognition) system mainly includes the subsystem of license plate detection and character recognition.

59. In this paper changing threshold segmentation and grid technology is applied so that computer vision system is to save time, to improve accuracy and processing speed.

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

61. Based on the principle of computer vision, this paper presents a matrix algorithm for the coordinate transformation from visual plane to geographical plane.

62. Establishing affine invariant similarity measure of shapes is one of the basic problems in pattern recognition, computer vision and image understanding domains.

63. Wu J. G, C. D. Liu, Y. L. Ren, G. H. Yang and C. H. Shi, Rapid test method of rice chalkiness based on computer vision system.