We present a method for tracking deformable surfaces in 3D using a stereo rig. Different from traditional recursive tracking approaches that provide a strong prior on the pose for each new frame, the proposed method t...
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A multi-character recognition method based on hidden Markov model （HMM） was presented. The method can reduce the calculation load of correlation and improve recognition accuracy compared with singlecharacter recogni...
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A multi-character recognition method based on hidden Markov model （HMM） was presented. The method can reduce the calculation load of correlation and improve recognition accuracy compared with singlecharacter recognition in video. The characteristics used for recognizing include the shape character, the color character, the texture character and so on. Even our human being generally uses these characteristics to recognize objects in practice..4, recognition experiment of 17 fishes was carried out in the paper. The experimental results demonstrate the high veracity of the multi-character recognition algorithm. Together with the tracking process, it can handle dynamic objects, so the multi-character recognition is more like the human recognition, and has great application value.
This paper introduces a shape descriptor based on a combination of topological image analysis and texture information. Critical points of a shape’s skeleton are determined first. The shape is described according to p...
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Sparse representation has recently been proved to be a powerful tool in imageprocessing and object *** paper proposes a novel small target detection algorithm based on this *** modelling a small target as a linear co...
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Sparse representation has recently been proved to be a powerful tool in imageprocessing and object *** paper proposes a novel small target detection algorithm based on this *** modelling a small target as a linear combination of certain target samples and then solving a sparse 0-minimization problem,the proposed apporach successfully improves and optimizes the small target representation with ***,the sparsity concentration index（SCI） is creatively employed to evaluate the coefficients of each block representation and simpfy target *** the detection frame,target samples are firstly generated to constitute an over-complete dictionary matrix using Gaussian intensity model（GIM）,and then sparse model solvers are applied to finding sparse representation for each sub-image ***,SCI lexicographical evalution of the entire image incorparates with a simple threshold locate target *** effectiveness and robustness of the proposed algorithm are demonstrated by the exprimental results.
In this paper we propose a character segmentation method for multispectral images of ancient documents. Due to the low quality of the images the main idea of this study is to combine the multispectral behavior and con...
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In this paper,we use 1D rotating objects to calibrate *** calibration object has three collinear *** is not necessary for the object to rotate around one of its endpoints as before;instead,it rotates around the middle...
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In this paper,we use 1D rotating objects to calibrate *** calibration object has three collinear *** is not necessary for the object to rotate around one of its endpoints as before;instead,it rotates around the middle point in a *** this instance,we can use two calibration constraints to compute the intrinsic parameters of a *** addition,when the 1D object moves in a plane randomly,the proposed technique remains valid to compute the intrinsic parameters of a *** with simulated data as well as with real images show that our technique is accurate and robust.
Head and neck (H &N) cancer is one of the most prevalent cancers [1]. In its treatment and prognosis analysis, tumors and metastatic lymph nodes may play an important role but their manual segmentations are time-c...
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The mean shift algorithm is an efficient method for tracking object in the color image sequence. However, in the infrared object-tracking scenario, there is a singular feature space, i.e. the grey space, for represent...
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An improved approach for JSEG is presented for unsupervisedcolor image segmentation. Instead of color quantization, an automaticclassification method based on adaptive mean shift (AMS) basedclustering is used for nonp...
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ICA (independent component analysis) feature extraction is an efficient sparse coding method for noise reduction. In many ICA-based de-noising processing, however, they need noise-free source data to train the basis v...
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