Due to the limited information of two-dimensional (2D) radar images, the study of three-dimensional (3D) radar image reconstruction has received significant attention. However, the target attitude obtained by the existing 3D reconstruction methods is unknown. In addition, using a single perspective, one can only get 3D reconstruction result of a simple target. For a complex target, due to occlusion and scattering characteristics, 3D reconstruction information obtained from a single perspective is limited. To tackle the above two problems, this paper proposes a new method for multi-perspective 3D reconstruction and single perspective instantaneous target attitude estimation. This method consists of three steps. First, the result of 3D reconstruction with unknown attitude is obtained by the traditional matrix factorization method. Then, in order to obtain the attitude of a target 3D reconstruction, additional constraints are added to the projection vectors which are computed from the matrix factorization method. Finally, the information from different perspectives are merged into a single layer information according to certain rules. After the information fusion, a multi-perspective 3D reconstruction structure with better visibility and more information is obtained. Simulation results have proved the effectiveness and robustness of the proposed method.

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In the prediction and improvement of integrated circuit yield, it needs to convert CIF file to BMP file in order to calculate the critical area accurately and optimize the subsequent layout, at the same time, the image format of layout is the foundation of random defects hot spot detection. Firstly, the structures of CIF file and BMP file are studied, and various commands of CIF are deeply analyzed. Secondly, we design the algorithm that is based on the primitives are converted into BMP according to the representation of four basic primitives (rectangle, polygon, circularity, line with width) in CIF layout. Finally, we realize the algorithm of the whole CIF files is converted into BMP files. It is simple, conversion accuracy is high, more importantly, laid the foundation for the improvement of integrated circuit yield, and use C++ language to realize the CIF files conversion software based on the algorithm.

This paper presents a new view-synthesis technique using the 2D discrete wavelet-based view morphing. The view morphing is completely based on pairwise images without the camera calibration and depth information of images. First a Fundamental Matrix related to any pair of images is estimated. Then using the fundamental matrix, the pair of image planes is rectified to be parallel with their corresponding points lying on the same scanline, giving an opportunity to generate new views with linear interpolation techniques. The pre-warped images are then decomposed into a hierarchical structure with the wavelet transform. Corresponding coefficients between two decomposed images are linearly interpolated to form the multiresolution representation of an intermediate view. Quantization techniques [10,11] can be embedded here to compress the coefficients for the purpose of reducing the morphing complexity. Finally, during the display, compressed images are decoded and an inverse wavelet transform is applied. A postwarping procedure is employed to transform the interpolated views to its desired position.

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