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Recently, a model-based depth estimation technique has been proposed, which estimates surface model parameters by means of Hooke-Jeeves optimization. Assuming a parametric surface model, the parameters best explaining the perspective changes of the surface between different views are estimated. This constitutes a fitting of models directly into stereo images, which is in contrast to the usual approach...
A novel approach is proposed in this paper to exploit the Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) in the interferometric synthetic aperture radar (InSAR) data processing. The proposed algorithm includes three steps: the first step is to patch the void cells in the SRTM DEM; the second step is to determine a one-to-one correspondence between the interferogram and the SRTM...
Patch-based image completion proceeds by iteratively filling the target (unknown) region by the best matching patches in the source image. In most existing such algorithms, the size of the patches is either fixed and specified by a default number or simply chosen to be inversely proportional to the spatial frequency. However, it is noted that the patch size affects how well the filled patch captures...
A smart unmixing approach for quantitative detection of small amounts of dust that settle on the vegetation canopy using hyperspectral (HRS) airborne imagery data is proposed. A dust analog composed of Alumina (Aluminum Oxide Al2O3) powder was artificially spread over vegetation that covered 4 × 4 pixels of the AISA-Dual sensor. The alumina spectral signal could not be extracted using ordinary methods...
A novel super resolution method for enhancing the resolution of mammogram images based on statistical moment analysis (SMA) has been designed and implemented. The proposed SMA method enables high resolution mammogram images to be produced at lower levels of radiation exposure to the patient. The SMA method takes advantage of the statistical characteristics of the underlying breast tissues being imaged...
Recently, source and mask optimization (SMO) has been proposed as an effective solution to help extending the life time of conventional 193 nm lithography. However, SMO is very computationally intensive. To mitigate this issue, we propose a highly effective and efficient method for source optimization in this paper. Based on the gray-level pixel based source representation, the gradient of the cost...
Hierarchical-multivariate spectral gradient method is proposed for unconstrained optimization problems. It is a compound of multivariate spectral gradient method and two-point stepsize gradient method but more flexible than them. And the related algorithm is applied into nonrigid registration of medical image.
This paper presents a sequential image stitching approach for creating high-quality panoramic images on mobile devices. In this approach, each source image in the image sequence is stitched onto the panoramic image sequentially using two operations: optimal seam finding and transition smoothing. In the seam finding process, graph cut optimization finds an optimal seam and creates labeling in the overlapping...
Markov Random Field is now ubiquitous in many formulations of various vision problems. Recently, optimization of higher-order potentials became practical using higher-order graph cuts: the combination of i) the fusion move algorithm, ii) the reduction of higher-order binary energy minimization to first-order, and iii) the QPBO algorithm. In the fusion move, it is crucial for the success and efficiency...
Image registration based on gradient and least square optimization technique is one of the most edge-cutting registration algorithms. Such method, especially useful for sub-pixel motion, searches for the best motion in an iterative way. This paper solves the same motion registration problem following this direction. And the well-known Gauss-Newton method (GNM) is employed here as the optimization...
In this paper, two new energy functions are presented to handle the slanted plane. First, the gradient information is used to get the initial disparity in a local energy function. Second, a global energy function is incorporating segment geometric constraints. To overcome the fronto-parallel model errors, the segment adjacent segments cooperative optimization is used to infer the unreliable pixel...
We address the problem of 3D model based vehicle localization in calibrated traffic scenes. A wire-frame vehicle model is set up as prior information and an efficient local gradient based method is proposed to evaluate the fitness between the projection of 3D model and image data, which illustrates smooth optimization surface and more conspicuous peak with low computational cost. Gradient decent is...
An efficient algorithm based on the pixel-based mask representation is proposed for fast synthesis of model-based inverse lithography technology (ILT) to improve the resolution and pattern fidelity in optical lithography. This new algorithm reduces N2 intensity computations to three (3) equivalent intensity computations per iteration, where N2 is the total number of pixels in a mask. This algorithm...
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