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Quadratic compressive sensing, as a nonlinear extension of compressive sensing, has attracted considerable attention in optical image, X-ray crystallography, transmission electron microscopy, etc. We introduce the concept of uniform s-regularity to study the uniqueness in quadratic compressive sensing and propose a greedy algorithm for the corresponding numerical optimization. Moreover, we prove the...
In the field of character recognition, the problem caused by geometric deformation or the rotation of characters leads to a low character recognition rate. In this paper, a high speed recognition method based on affine invariant to recognize the deformed characters is proposed. In this method, the deformed character is rectified within a circle using the moments of deformed character, and then it...
Lung segmentation is an important task for quantitative lung CT image analysis and computer aided diagnosis. However, accurate and automated lung CT image segmentation may be made difficult by the presence of the abnormalities. Since many lung diseases change tissue density, resulting in intensity changes in the CT image data, intensity only segmentation algorithms will not work for most pathological...
Camera pose estimation from image is one of the key issues in computer vision. Most existing approaches need embed a visual mark in the object's texture for camera pose estimation. However, a visual mark spoils the unity of the image. This paper introduces a novel pose estimation method using the spatial frequency domain analysis. In this method, the high frequency marker that is hard to distinguish...
In the field of machine vision, a very important task is to use the visual information to estimate the attitude of camera. The traditional approach is to embed a visual mark in the image's texture for attitude estimation. However, a visual mark would spoil the unity of the image. This paper introduces a novel attitude estimation method using the spatial frequency domain analysis. In this method, the...
In this paper, we described an approach about chunk parsing using fixed word combination. It is different from the previous researches. We presented a pattern extraction and matching method of Chinese sentence with fixed word combination. After that we tested the pattern, and got a correct rate more than 96%. From the result of our experiment, we can identify that the analysis of syntax has been improved...
Extremely low frequency (ELF) atmospheric noise is non-Gaussian, consisting of the sum of a Gaussian background and narrow pulses caused by lighting strokes. Therefore, the conventional detection method for signal in Gaussian noise gets worse. In this paper, myriad filter and locally optimal detector for signal detection in the ELF atmospheric noise is derived. First, the ELF atmospheric noise is...
To improve knowledge management and service levels, and achieve integration of software used in the whole product development process are research purposes here. Existing problems in current researches of non-semantic and semantic models are analyzed. Product development process itself, i.e. origin of semantic information of product, is studied wholly as the research object. Through research on design...
Conformational searching is common in many applications and algorithmic improvements on either speed or the quality would have a profound impact. In this paper, we address a target-constrained conformational searching problem and show two subdivision methods approximating the solutions rather than solving for the exact solutions. The performance of the methods is presented
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