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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. Sentencedict.com 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.