Applied Mechanics and Materials Vols. 423-426

Abstract: Shader plays an important role in DirectX11, and whatever things are rendered by Shader. It is great significance to study virtual simulation technique based on Shader. Firstly, the common shader core is introduced by this paper. Secondly, the virtual simulation system architecture based on shader is studied. Finally, a virtual simulation system is implemented based on DirectX11 in VS2010, and achieves better results.

Abstract: To reach higher compression ratios without perceptually degrading the reconstructed signal, the properties of the human visual system (HVS) need to be better exploited. Research simulated the sensitivity of HVS with the just-noticeable-distortion (JND) model, which describes the perception redundancy quantitatively. This paper proposed a new JND model in multiview video coding (MVC) which explored the property of HVS to stereoscopic masking effect. The proposed model contained the spatial JND, temporal JND and the JND in depth. A novel asymmetric stereoscopic video coding method was proposed based on the new JND model. For each macroblock (MB), the quantization parameters (QPs) were optimized adaptively based on the new JND. Compared with the original JMVC scheme without JND, our method gets remain perceptual quality and save bits averagely 24.18%~36.24%.

Abstract: An improved panorama generation method based on homography estimation was proposed. Corners detection were realized using FAST algorithm. After corner detection, the related corners were matched and homography estimation was established. Using random sample consensus related estimation, we got accurate interior points to estimate parameters. Image fusion was realized using hybrid filter operator. Experimental results showed that the panorama generation method based on homography estimation is effective and robust.

Abstract: In order to improve the quality of blind image restoration, we propose an algorithm which combines Non-negativity and Support constraint Recursive Inverse Filtering (NAS-RIF) and adaptive total variation regularization. In the proposed algorithm, the total variation regularization constraint term is added in the NAS-RIF algorithm cost function. The majorization-minimization approach and conjugate gradient iterative algorithm are adopted to improve the convergence speed. We do the simulation experiments for the blurred classic test image which is added additive random noise. Experimental results show that the restoration effect of our algorithm is better than the spatially adaptive Tikhonov regularization method and the NAS-RIF spatially adaptive regularization algorithm, while the value of improvement of signal to noise ratio (ISNR) has improved.

Abstract: In this paper, we present a new method to detect sub-pixel edges of shape-known objects. Differ from other sub-pixel edge detection methods based on normal information, we use tangential information. We introduce theories of this method, as well as the influences on the performance of this method caused by size, sampling location and direction of the object. This new method has been practically applied and compared with other methods in real pictures on the product line. Results show that this method provides more accurate sub-pixel edge in practical applications.

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: In this paper, we proposed a faulty insulator diagnosis method for insulator faulty detection based on repetitiveness feature from UAV video sequence. The repetitiveness feature which describes the relationship of each structural element of insulator is employed for the insulator faulty diagnosis, and is robust to noise, camera motivation and complex backgrounds. Base on the repetition of structural element, our method can not only deal with single insulator with multi-faults, but also work on double insulator strings. The recognition results on insulator dataset and UAV video show the effectiveness of our method.

Abstract: The principal aim was the construction of a face recognition system in order to be implemented in the service robot Donaxi, delimited by the Who is who test which is part of the RoboCups tests set, using an evolutionary development strategy of triple iterations. A two phase hybrid algorithm was developed, the first phase aim was the face detection using the Haar classifiers for face search in an image and the second phase is based on a decision tree whereby the faces characteristics were evaluated by the comparison techniques of phase correlation and histogram comparison. The needed characteristics were identified in order to develop this work as a software engineering project which allowed the algorithm construction and implementation through an evolutionary approach and a personal development process. The evolutionary strategy allowed the prototyping development with functionality and the tracking of the final system construction. A three iterations total was realized during which the needed metrics were registered (time, defects and sizes). The final analysis of results (algorithm and methods) allowed concluding and visualizing the employment advantages of a software engineering formal technique for research and robotics projects realization when improving estimations and software production quality.

Abstract: In this paper, we present the design and implementation of a vision system for power transmission facilities detection based on UAV videos. The vision system consists of two main parts, the client part and the server part. The aim of the system is to detect the power transmission facilities in complex background. In order to achieve this aim, several novel methods are proposed for detecting the power transmission facilities which include the power line, the power tower, and the insulator. The experiment results on real image data demonstrate that the proposed methods are accurate and effective. The system is presented to demonstrate the performance of the detection methods.

Abstract: In order to realize the nondestructive testing for hot forming high strength steel parts, a hardness testing device based on Magnetic Barkhausen Noise (MBN) was developed. By measuring MBN of standardized blocks of Rockwell hardness and extracting feature values of the noise, a fitted curve between hardness and MBN peak was calibrated. Good linearity was found between hardness and MBN peak within high hardness range 35~60HRC. The testing device was proved to be high-precision and stable by measuring the practical high strength steel parts.