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.
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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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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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 disparity estimation, then the reliable matching points derived through left-right constraint are used to compute the disparity planes in the segmentation areas; finally the disparity planes are used to constraint the disparity estimation and as a reference of the energy function, then the Tree DP is introduced to compute the optimal disparity for every pixel. In order to testify the validity and practicability of the algorithm, firstly we use it in the matching of the standard images, the experimental results show that our algorithm has a better performance in areas of low texture and occluded areas and a higher matching accuracy, and then the reconstruction results of the real images shows a smooth and valid point cloud model.
Research of job scheduling methods of arc welding robot is focused in this paper. The job scheduling of arc welding robot is considered as a Traveling-salesman-Problem. Welding job scheduling is modeled and relevant j...
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ISBN:
(纸本)9781424457014
Research of job scheduling methods of arc welding robot is focused in this paper. The job scheduling of arc welding robot is considered as a Traveling-salesman-Problem. Welding job scheduling is modeled and relevant job scheduling optimization methods are designed. Genetic algorithm and ant colony algorithm are applied to robot welding job scheduling first. Then, based on the characteristics of both algorithms, hybrid genetic ant colony algorithm is designed to improve optimization performance. With simulated weldment as the subject, genetic algorithm, ant colony algorithm and hybrid genetic ant colony algorithm are analyzed and compared by simulation. Validity of above methods is verified.
This paper investigates the problem of robust exponential admissibility for a class of continuous-time uncertain switched singular systems with interval time-varying delay. By defining a properly constructed decay-rat...
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This paper investigates the problem of robust exponential admissibility for a class of continuous-time uncertain switched singular systems with interval time-varying delay. By defining a properly constructed decay-rate-dependent Lyapunov function and the average dwell time approach, a delay-range-dependent sufficient condition is derived for the nominal system to be regular, impulse free, and exponentially stable. This condition is also extended to uncertain case. The obtained results provide a solution to one of the basic problems in continuous-time switched singular time-delay systems, that is, to identify a switching signal for which the switched singular time-delay system is regular, impulse free, and exponentially stable. Numerical examples are given to demonstrate the effectiveness of the obtained results.
The problem on stabilization for the system with distributed delays is researched. The distributed time-delay under consideration is assumed to be a constant time-delay, but not known exactly. A design method is propo...
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The problem on stabilization for the system with distributed delays is researched. The distributed time-delay under consideration is assumed to be a constant time-delay, but not known exactly. A design method is proposed for a memory proportional and integral (PI) feedback controller with adaptation to distributed time-delay. The feedback controller with memory simultaneously contains the current state and the past distributed information of the addressed systems. The design for adaptation law to distributed delay is very concise. The controller can be derived by solving a set of linear matrix inequalities (LMIs). Two numerical examples are given to illustrate the effectiveness of the design method.
Chaotic synchronization criteria for a class of dynamical networks with each node being RCL-shunted Josephson junction is proposed in this paper. The proposed algorithms, which are established in terms of linear matri...
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ISBN:
(纸本)9787894631046
Chaotic synchronization criteria for a class of dynamical networks with each node being RCL-shunted Josephson junction is proposed in this paper. The proposed algorithms, which are established in terms of linear matrix inequalities (LMIs), guarantee the synchronized states to be global asymptotically stable. In addition, an interesting conclusion is reached that the chaotic synchronization in the coupled whole 3N-dimensional networks can be converted into that of 3-dimensional space.
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