Applied Mechanics and Materials Vols. 687-691

Abstract: Visual illusion is a universal phenomenon that deviates from people’s conventional perception experience. Applying this phenomenon into design can exploit vast form innovation in visual field. This paper takes advantage of visual illusion to widen designer’s design thought. Especially, the special visual effects it generates can intensively simulate human vision and induce psychological association. Visual illusion embodies a sort of meaningful form as well as declares the various manifestation patterns of visual design itself.

Abstract: Because uncertainty and complexity of the athlete’s injury risk factors, the general risk method can’t reflect the risk of athletes. Based on Bayesian probability estimation method, this paper proposes a new evaluation system of athlete injury risk. Combined with the VB programming and visualization display function, it realizes visual evaluation function of athlete injury risk, and the injury level of athletes is divided into three warning levels. Finally through risk assessment system, we get the effect curve of athletes training number and training time on the injury. From the results we can conclude that the training time has a certain randomness injury to the athletes, and training times are decisive factors to some injury of athletes. It provides technical reference and data support for the risk assessment of injury.

Abstract: With the increasing development of modern social information degree, the multimedia technology and network technology have rapid development, and the society puts forward new requirements for the education industry. Accordingly, this paper uses virtual design of Flash3D animation to development and design demonstration system of track and field action. The system uses the built-in method to extract the feature of track and field action, and uses the wavelet reconstruction algorithm to reconstruct the action, so as to achieve the function of action learning. We use Adobe Flash CS65 of the system to extract 5 groups of 1025 movements and reconstruct 10 groups of 2256 movements. Comparing the reconstructed image with the actual image frames, we found the new images reconstructed by the demonstration system are consisting with the real images frame. It provides a new computer method for teaching track and field action.

Abstract: Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.

Abstract: With the improvement of computer hardware and software performance, digital multimedia technology has been applied to various fields. The visual effect of ceramic art image is affected mainly by the brightness, texture and color, in which the image defects will affect the visual effect of the ceramic product. This paper designs the digital processing system of a new ceramic art image processing, the system can repair defects in ceramic art image. In order to verify the validity and reliability of digital processing system, the lead-free perovskite structure BZT based ceramics is prepared in this paper, and the use of electron microscope and digital camera take the ceramic products processing image with artistic defects, and then using VB programming digital image processing technology carries out color re coating for the ceramic, the ceramic products electron microscopy images after restoration will be obtained by the image boundary restructuring, which provides a new computer method for the processing art of the ceramic products.

Abstract: Problem of identifying building crack is studied to provide technical support for the construction quality. In the building, building crackis an important factor affecting the construction quality. This paper presents a building crack recognition method based on cloud computing. Cloud model is established to pretreat the acquired building image, so as to improve image quality, and perform construction cracks identificationaccording to the processed image. Experimental results show that the improved algorithm for cracks construction identification can improve the recognition accuracy.

Abstract: The resolution of the face image in video may lower than 16*16 in environmental such as ultra long distance, poor illumination and so on, with the very low resolution (VLR) face image the existing face super-resolution (SR) methods do not perform well. In this paper, we proposes a new algorithms by learning the relationship between high-resolution (HR) image space and the VLR image space for face SR.A new constrain, new data constrain are design for reconstruct HR face image form VLR face image. The Experiment results show that the proposed method can recover a clear face image from the VLR face image.

Abstract: This paper introduces the basic principle of phase code pulse compression technology, the characteristics of phase coded pulse compression system, and the technical approach of radar to implement phase code pulse compression.

Abstract: Relative orientation is one of the most important and classic tasks in photogrammetry. Gross error of the corresponding points may be caused by computer automatic image matching, the commonly used method is unsuitable to relative orientation. In this paper, a novel approach of stereo images relative orientation considering gross error was proposed. Firstly the initial elements of relative orientation are computed by direct relative orientation, then the refined elements of relative orientation are obtained by Huber and iterative algorithm in the continuous relative orientation, which can eliminate the negative influence of gross error. Experimental results show that the proposed approach can achieve more excellent performances in accuracy than the commonly used method in the corresponding points with gross error.

Abstract: Age estimation is an important method to solve the face recognition with age change, due to the feature extraction,in the process of age estimation study, PCA dimensional reduction method is usually used to reduce dimension with excessive dimension.PCA refers that transform the sample matrix into one-dimensional vector first, then the one-dimensional vectors form a matrix, solve the eigenvector. 2D-PCA applied in this paper is not required to transform the sample matrix into one-dimensional vector, but construct scatter matrix with data matrix directly, accordingly, the computing time is reduced and a good performance evaluation is achieved in the test.