Papers by Keyword: Harris Algorithm

Abstract: OpenGL can correctly simulate real photogrammetric imaging by setting reasonable parameters. It’s an important tool to achieve the simulation of real three-dimensional object or scene imaging to two-dimensional CCD (Charge-coupled Device) plane. However, the images are lack of reliability verify. To solve this problem, we propose a method that can verify OpenGL simulated images on the basis of analyzing OpenGL image-forming principle. Firstly, the checkerboard images of different positions are taken by real camera and intrinsic and external parameters are calibrated. Subsequently, we use OpenGL to produce the same intrinsic and external parameters of checkerboard image by setting correct parameters. Finally, the simulated and real images’ matching point pair RMSE value is calculated based on Harris operator. By comparison, the validity and reliability of OpenGL simulated images are verified by some numerical simulation.

Abstract: In order to solve the inaccuracy and slowness of four-rotor aircraft pose estimation, a fast method is proposed. It uses FPGA+DSP as the hardware processing platform to reduce the overhead time and adopts the theory of Harris corner detection to gain the corner points’ coordinate and gray values. Then the pose of four-rotor aircraft can be calculated. The result of experiment shows that the method could estimate the pose of four-rotor aircraft accurately.

Abstract: To assist man who is blind or visually impaired on the navigation, a vision system depending upon the DM3730 as the core is developed, which can provide accurate information regarding the environment surrounding the patients. As one part of the project, the feature detection module must be suitable for an embedded implementation, hardware parallelisms and algorithmic modifications need. The Harris detection is chosen as the main algorithm of this module. The experimental results show that the precision and speed of feature extraction are both better than of the PC platform.

Abstract: The pose measurement of cannon barrel (vertical angle and azimuth angle) is a difficulty and emphasis in the precision analysis of SPAAG fire control system. To solve this problem, this paper presents a contactless measuring method based on computer vision. Before measurement, fix a checked planar faceplate on the cannon barrel as a marker. Firstly, get the coordinate of X corner points using Harris Corner Detection Algorithm to calibrate the camera, and chalk up the cameras intrinsic parameters based on Extended Kalman Filter. Secondly, get the corner points from the image of test position, then calculate the extrinsic parameter matrix of the corresponding position combining with LSE algorithm. Finally, according to the motion model of cannon barrel and the position relative to the marker, derive the constraint equations between extrinsic parameter and vertical angle and azimuth angle, then figure out the two angles. Experiment validate the maneuverability and veracity of this method, and the results indicate that the measuring precision of this method is less than 1mil.

Abstract: Comprehensive analysis of the tower in the image feature information with Harris corner imprecise for complex image, we propose an improved algorithm, which use of the improved Harris detection method to calculate the number of gray similar to the target pixel 8 field, analyze the gray level distribution of pixels within the local range, and then use the lag suppression method to set threshold , if corner is the objective function greater than the set threshold, the change point was identified as the final corner. The experimental results proved to be effective to determine the image of the tower area.

Abstract: When detecting the large objects by infrared thermal method, it is difficult to get a whole panoramic picture. So it needs to stitch some infrared thermography. Image mosaic includes 4 steps, feature detection, feature registration, image transformation and image fusion. This paper studies about an infrared thermograph mosaic algorithm based on the feature point detection and registration, and realizes it in MATLAB.

Abstract: A maximization of mutual information based image registration method is described. Firstly Due to the inferiority of image registration using maximum mutual information, the registration based on Harris algorithm to obtain corner points. Secondly, the one to one matching points could be obtained through mutual information rough match. Finally, the search strategy used the improved genetic algorithm to find the optimum value. Experimental results indicate the proposed algorithm can achieve better accuracy and good robust.

Abstract: In this paper, the comparation and analysis of the conner detection algorithm used in the three-dimensional reconstruction were made .Also the improvement and optimization to the parameters of harris algorithm were done. It is concluded that the hariis algorithm improved had a better effect ,simpler operation and better stability in the measurement of material stack volume measurement through the experimental results.

Abstract: The Harris corner detection algorithm is widely applied in image mosaic, which is simple and stable. However, the algorithm has a disadvantage that it obtains a lot of false corners when there exist some noise in an image. An improved Harris corner detection algorithm is proposed in this paper. The new algorithm reduces the noise impact greatly. The experimental results show that the improved algorithm not only reduces false corner points greatly, but also retain the majority of true corners. As a result, it improves the detection accuracy and reduces the chance of error matching in image registration.

Abstract: According to the lack of Harris corner detection algorithm in corner detection, positioning, detection speed and anti-noise ,this paper improves Harris operator to make up for the bad stability of original operator, so as to realize accurate inspection, Strong anti-noise, fast, good stability and the exact match of image.