Data process of large rotating machinery is in line with basic features of information fusion. A framework of fault diagnosis and prediction based on sensor information fusion is built. An improved extracting method o...
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In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG compon...
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A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximat...
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A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximately suppose that the sinusoidal fringe projection to the plate, the phase differences between adjacent pixels are equal. Then we put the phase shift error into the original algorithm for error compensation. Simulation results show the inhibitory effect of the errors after using the new algorithm for error compensation. Lastly we use the new algorithm for three-dimensional reconstruction of physical measurement. The final effect image shows obviously that the new compensation algorithm is better than the original. So this error extracting algorithm can effectively improve the accuracy of three-dimensional measurement.
A new accurate phase-shifting error compensating algorithm for phase-measuring profilometry is proposed and proved. In this error detecting algorithm, we use three adjacent phase points for research object, approximat...
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In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG compon...
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In this paper a novel 3D shape measurement technique based on color fringe projection is proposed to solve the spectrum aliasing and phase unwrapping issues existed in Fourier transform profilometry. Set the RG components of the color fringe to two different frequencies of sinusoidal pattern and the B component to the average value of R or G component. Then project the pattern to the object. Separate these RGB components of the captured color pattern and use our method to process these three gray patterns. By using the proposed method, the background and high frequency noises can be eliminated during FTP process, also the accurate unwrapped phase which contains the height information can be got by using two frequencies of wrapped phase to unwrap the phase. Only one frame color pattern is needed to get the 3D information of an object. Experiment results show that the 3D information of an object can be obtained rapidly and accurately using the proposed method. And also the object can be measured dynamically.
Data process of large rotating machinery is in line with basic features of information fusion. The fault deterioration is extracted from the pattern spectrum as the fault feature , and its trend is predicted by the in...
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A stereo reconstruction algorithm is proposed, which combines techniques of local edge detection, stereo matching and binocular vision. Firstly, the left and right images of the object are taken by calibrated binocula...
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A stereo reconstruction algorithm is proposed, which combines techniques of local edge detection, stereo matching and binocular vision. Firstly, the left and right images of the object are taken by calibrated binocular cameras. Then, in rectified matching images, the closed local edge is formed surrounding each pixel by Prewitt edge operator in order to construct an adaptive window, in which cost aggregation is calculated by normalized cross-correlation-coefficient. Next, local winner-take-all optimization is used to obtain disparity, and image smoothing technique is introduced to reduce matching errors. Finally, points cloud of the object is produced based on calibration information of binocular cameras and results of stereo matching. The experimental results show that the proposed algorithm can overcome impacts of real environment on reconstruction system and successfully achieves smooth and vivid 3D points cloud models of different real objects with high automation degree.
In order to decrease the mismatching problem in low texture and occluded areas, an improved algorithm based on image segmentation is proposed. Firstly, the adaptive polygon-based support window is adopted for initial ...
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This paper presents a local stereo matching algorithm based on the window construction method using local edge detection. In order to improve performance of window-based cost aggregation computation, a new rule called...
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This paper presents a local stereo matching algorithm based on the window construction method using local edge detection. In order to improve performance of window-based cost aggregation computation, a new rule called Dissimilar Intensity Support technique is proposed to distinguish support pixels with dissimilar intensities from those with similar intensity for each centered pixel. According to the proposed rule, support pixels away from centered pixel with dissimilar intensities are used to compute cost aggregation for enhancing intensity variation in local support region. Initial disparity is obtained by classical Winner-Take-All method. Then disparity refinement based on pixels near center with similar intensity as well as smooth disparity is introduced to rectify mismatch. The experimental results based on Middlebury stereo benchmark show that the proposed algorithm has good performance especially in low textured region with only few parameters.
3D face recognition is complicated by the presence of expression variation. In this paper, we present an automatic 3D face recognition method which can differentiate the expression deformations from the interpersonal ...
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ISBN:
(纸本)9781424475421
3D face recognition is complicated by the presence of expression variation. In this paper, we present an automatic 3D face recognition method which can differentiate the expression deformations from the interpersonal differences and recognize faces with expressions being removed. The deformations caused by expression and interpersonal difference are firstly learnt from training set, respectively. Then the deformations are linearly combined to synthesize new face with certain expression. When a target face comes in, the synthesized face is used to match it by adjusting the coefficients in the linear combination. After the matching process, coefficients corresponding to the interpersonal differences are chosen as features for recognition. We perform experiments on the FRGC v2.0 database and good performance is obtained.
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