As high brightness of laser spot, it significantly distinguish from the other goals on objects surface. Therefore, in computervision, laser spot often is applied as interaction tools, and an important measurement too...
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ISBN:
(纸本)9780819485786
As high brightness of laser spot, it significantly distinguish from the other goals on objects surface. Therefore, in computervision, laser spot often is applied as interaction tools, and an important measurement tool etc. In building large-scale multi-projection display system, accurate measurement of geometrical parameters is very important. Based on subdivision mesh, this paper presents laser spot tracking algorithm with sub-pixel precision. The experimental data validates this algorithm sub-pixel precision.
The proceedings contain 30 papers. The topics discussed include: a distributed mincut/maxflow algorithm combining path augmentation and push-relabel;minimizing count-based high order terms in Markov random fields;glob...
ISBN:
(纸本)9783642230936
The proceedings contain 30 papers. The topics discussed include: a distributed mincut/maxflow algorithm combining path augmentation and push-relabel;minimizing count-based high order terms in Markov random fields;globally optimal image partitioning by multicuts;a fast solver for truncated-convex priors: quantized-convex split moves;temporally consistent gradient domain video editing;texture segmentation via non-local non-parametric active contours;evaluation of a first-order primal-dual algorithm for MRF energy minimization;global relabeling for continuous optimization in binary image segmentation;optimality bounds for a variational relaxation of the image partitioning problem;interactive segmentation with super-labels;curvature regularity for multi-label problems - standard and customized linear programming;and space-varying color distributions for interactive multiregion segmentation: discrete versus continuous approaches.
With the development of society, handwritten digits recognition technique has been widely applied to production and daily life. It is a very difficult task to solve these problems in the field of patternrecognition. ...
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ISBN:
(纸本)9780819485786
With the development of society, handwritten digits recognition technique has been widely applied to production and daily life. It is a very difficult task to solve these problems in the field of patternrecognition. In this paper, a new method is presented for handwritten digit recognition. The digit samples firstly are processed and features extraction. Based on these features, a novel immune network classification algorithm is designed and implemented to the handwritten digits recognition. The proposed algorithm is developed by Jerne's immune network model for feature selection and KNN method for classification. Its characteristic is the novel network with parallel commutating and learning. The performance of the proposed method is experimented to the handwritten number datasets MNIST and compared with some other recognition algorithms-KNN, ANN and SVM algorithm. The result shows that the novel classification algorithm based on immune network gives promising performance and stable behavior for handwritten digits recognition.
This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers p...
ISBN:
(数字)9783642259449
ISBN:
(纸本)9783642259432
This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on intelligent computing in scheduling; local feature descriptors for image processing and recognition; combinatorial and numerical optimization; machine learning theory and methods; intelligent control and automation; knowledge representation/reasoning and expert systems; intelligent computing in patternrecognition; intelligent computing in image processing; intelligent computing in computervision; biometrics with applications to individual security/forensic sciences; modeling, theory, and applications of positive systems; sparse manifold learning methods and applications; advances in intelligent information processing.
This paper presents a novel fast template matching algorithm based on context prediction. The predicted regions are those windows that contain the current entire sub-window. Comparison skipping or comparison terminati...
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ISBN:
(纸本)9780819485786
This paper presents a novel fast template matching algorithm based on context prediction. The predicted regions are those windows that contain the current entire sub-window. Comparison skipping or comparison terminating is executed when a low bound of distance which has been calculated between the template and the window exceeds the threshold. Experimental results and theory analyses prove the proposed method is faster than the conventional fast template matching method, strictly guaranteeing the same accuracy and up to maximal twenty times faster than the SSDA.
This paper puts forward an offline handwritten numeral recognition method based on background structural descriptor (sixteen-value numerical background expression). Through encoding the background pixels in the image ...
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ISBN:
(纸本)9780819485786
This paper puts forward an offline handwritten numeral recognition method based on background structural descriptor (sixteen-value numerical background expression). Through encoding the background pixels in the image according to a certain rule, 16 different eigenvalues were generated, which reflected the background condition of every digit, then reflected the structural features of the digits. Through pattern language description of images by these features, automatic segmentation of overlapping digits and numeral recognition can be realized. This method is characterized by great deformation resistant ability, high recognition speed and easy realization. Finally, the experimental results and conclusions are presented. The experimental results of recognizing datasets from various practical application fields reflect that with this method, a good recognition effect can be achieved.
In this paper, we First makes selection of the Zernike moment features of handwritten numerals based on the principles that the distinction degree of inside-class features is small and the dividing of the features bet...
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ISBN:
(纸本)9780819485786
In this paper, we First makes selection of the Zernike moment features of handwritten numerals based on the principles that the distinction degree of inside-class features is small and the dividing of the features between classes is huge;Then construct the similar matrix between handwritten numerals by the similarity measure based on Grey relational analysis and make transitivity transformation to similar matrix for better block symmetry after reformation;Finally make spectrum decomposition to the Laplacian matrix which from the reformation similar matrices, and recognize the handwritten numerals with the eigenvectors corresponding to the second minimal eigenvalues in Laplacian matrix as the spectral features. The experimental result indicates that the robustness of the algorithm proposed in this paper is great and the result is fine.
Real-time stereo vision systems have many applications such as automotive and robotics. According to the Middlebury Stereo Database, Semi-Global Matching (SGM) is commonly regarded as the most efficient algorithm amon...
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ISBN:
(纸本)9780819485786
Real-time stereo vision systems have many applications such as automotive and robotics. According to the Middlebury Stereo Database, Semi-Global Matching (SGM) is commonly regarded as the most efficient algorithm among the top-performing stereo algorithms. Recently, most effective real-time implementations of this algorithm are based on reconfigurable hardware (FPGA). However, with the development of General-Purpose computation on Graphics Processing Unit, an effective real-time implementation on general purpose PCs can be expected. In this paper, a real-time SGM realization on Graphics Processing Unit (GPU) is introduced. CUDA, a general purpose parallel computing architecture introduced by NVIDIA in November 2006, has been used to realize the algorithm. Some important optimizations according to CUDA and Fermi (the latest architecture of NVIDA GPUs) are also introduced in this paper.
Tracking objects in videos using mean shift technique has brought to public attention. In this paper, we developed an improved tracking algorithm based on the mean shift framework. To represent the object model more a...
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ISBN:
(纸本)9780819485786
Tracking objects in videos using mean shift technique has brought to public attention. In this paper, we developed an improved tracking algorithm based on the mean shift framework. To represent the object model more accurately, the motion direction of the object which was estimated by the local motion filters was employed to weight the histogram. Besides, a wise object template updating strategy was proposed to adapt to the change of the object appearance caused by noise, deformation or occlusion. The experimental results on several real world scenarios shows that our approach has an excellent tracking performance comparing with the background weighted histogram mean shift tracking approach and traditional mean shift tracking method.
The proceedings contain 83 papers. The topics discussed include: infrared focal plane array imaging system characterization by means of a blackbody radiator;an adaptive color similarity function for color image segmen...
ISBN:
(纸本)9783642250842
The proceedings contain 83 papers. The topics discussed include: infrared focal plane array imaging system characterization by means of a blackbody radiator;an adaptive color similarity function for color image segmentation;a new prior shape model for level set segmentation;efficient 3D curve skeleton extraction from large objects;improving tracking algorithms using saliency;using adaptive run length smoothing algorithm for accurate text localization in images;fast rotation-invariant video caption detection based on visual rhythm;morphology based spatial relationships between local primitives in line drawings;fully automatic methodology for human action recognition incorporating dynamic information;local response context applied to pedestrian detection;and fast Finsler active contours and shape prior descriptor.
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