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The paper presents a method to reconstruct a controllable 3D head and face model for a specific person. The 3D grid-muscle head and face model of the certain person is created after selecting key feature points from a front face photo and a left side face photo of the person, deforming the grid points and muscle vectors of a basic model. Then after texture mapping, we reconstruct the special person's...
In the paper, the key technologies of authorized software are introduced. Image preprocessing, the comparative experiment of edge filter, the edge detection, the edge track and extract, data compression and system calibration and so on. Finally, the result of reconstruction is shown.
The statistical information reconstruction of images will be difficult and inaccurate when no conditional data or only hard data are available. Accuracy of reconstructed images can be improved, using soft data during the process of reconstruction. Integrating soft data with hard data, a method based on multiple-point geostatistics is proposed to reconstruct statistical information of images. During...
This paper presents an isophote-oriented image interpolation method that attempts to produce smooth reconstructions of the image??s level curves while still maintaining image fidelity. The proposed method employs an interpolation kernel that is obtained by looking for the explicit solution of a nonlinear PDE (partial differential equation). The PDE preserve the local continuation of isophotes (curves...
In this paper, a new method of sparse coding shrinkage based on independent component analysis is proposed to reduce speckle in polarimetric SAR Images. With soft-thresholding operator on polarimetric SAR Image, this method reduces speckle effectively and preserved polarimetric properties. The experiment shows that the image edges are retained with the proposed method and the speckle is removed effectively.
Two aspects of the superresolution reconstruction algorithm proposed by Fryer and McIntosh (FM algorithm) are considered in this paper. One is the sensitivity to the noise existed in low resolution images, and the other is the high computational complexity in the superresolution reconstruction process. The QM-SRR algorithm, presented in this paper, reconstructs the observation model using matrix form...
In order to extract bottle boundary and pick out unqualified tube-type bottles which possibly have breaks and irregular shapes, a novel processing measure is taken based on wavelet transformation and mathematical morphology. Industrial bottle image contains noises so that traditional and theoretical image processing algorithms need to be improved. In addition, due to bottle inspection standard is...
Fractal image encoding with full search typically requires a very long runtime, which is essentially spent on searching for the best-matched block to an input range block in a large domain pool. This paper thus proposed an effective method to improve the drawback, which is mainly based on gray value moment features of normalized block and related inequality is presented by the authors. During the...
3D reconstruction has a long history, few workable reconstruction systems are available although many magnificent theories and algorithms are reported in literature. In this paper, a 3D reconstruction system for indoor scenes with a rotating platform is reported, including its key components such as system calibration, feature matching and 3D reconstruction. Experimental results show that this system...
In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by matching key points across images. Then it builds a tetrahedral decomposition of space by computing the 3D Delaunay triangulation of the 3D point set. Finally, a triangular mesh of the scene is extracted by labeling Delaunay...
Super-resolution reconstruction of image is highly dependent on the data outliers. This work addresses the super-resolution reconstruction design of the intersecting cortical model (ICM) algorithm applied to the B-spline interpolation. Based on a simplification of the pulse-coupled neural network (PCNN), we propose a design strategy to reduce the effects of outliers on the reconstructed image. Intersecting...
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