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A note on the convergence of the mean shift

pattern recognition 2007年第6期40卷 1756-1762页

作者： Li, Xiangru Hu, Zhanyi Wu, Fuchao Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100080 Peoples R China

Mean shift is an effective iterative algorithm widely used in computer vision community. However, to our knowledge, its convergence, a key aspect of any iterative algorithm, has not been rigorously proved up to now. In this paper, by further imposing some commonly acceptable conditions, its convergence is proved. (c) 2006 Published by Elsevier Ltd on behalf of pattern recognition Society.

关键词： mean shift convergence local structure computer vision

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Time-stamped planar curves matching for reconstruction of aerocraft trajectories

Time-stamped planar curves matching for reconstruction of ae...

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Conference on pattern recognition and computer vision

作者： Wang, ShuWen Wang, Jin Zhang, TianXu Zhao, GuangZhou Radar Acad Dept Early Warming Command Wuhan 430019 Peoples R China Huazhong Univ Sci & Technol Key Lab Minist Educ Image Proc & Intelligence Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Dept Elect & Informat Wuhan Natl Lab Optoelect Wuhan 430074 Peoples R China Wuhan Univ Technol Sch Automat Wuhan 430070 Peoples R China

ISBN: (纸本)9780819469526

Planar mapped trajectories (curves composed of time-stamped points) matching differs to other planar curves correspondence in stereo vision. Most methods proposed for general planar curves matching are not much suitable for it. In this paper, a new coarse-to-fine method for planar trajectories is proposed;some physical constraints such as time, height, speed limitation and continuousness of aerocraft trajectories are used to make matching process more reasonable. Similarity Measures between left and right images planar trajectories are calculated for matching, flight trajectories are reconstructed at last, and reconstruction error is also discussed at last.

关键词： curve matching flight trajectories reconstruction physical constraints binocular stereo stereo vision

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Matching SAR image to optical image using modified hausdorff distance and genetic algorithms

Matching SAR image to optical image using modified hausdorff...

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Conference on pattern recognition and computer vision

作者： Mao, Haicen Yu, Qiuze Zhang, Tianxu Huazhong Inst Electroopt Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Key Lab Educ Ministry Image Processing & Intellig Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469526

A novel algorithm for matching synthetic aperture radar (SAR) image to Optical image based on lineal feature using Hausdorff distance combined with genetic algorithm is proposed in this paper. A new method is presented to extract lineal feature from low signal to noise ratio (SNR) SAR image. Based on the edge image from SAR and Optical image, modified Hausdorff distance is adopted as a similarity measure because it is insensitive to noise. Genetic algorithm is used as searching strategy to achieve high computation speed for its inertial parallel. Experimental results using real SAR and Optical images demonstrate that the algorithm is robust, fast and can achieve high matching accuracy.

关键词： synthetic aperture radar (SAR) image image matching hausdorff distance genetic algorithm signal to noise ratio (SNTR)

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An image rectification method on image sequence of monocular motion vision

An image rectification method on image sequence of monocular...

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8th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Li, Yunting Zhang, Jun Hu, Wenwen Liu, Xiaomao Tian, Jinwen Huazhong Univ Sci & Technol Sci & Technol Multispectral Informat Proc Lab Wuhan 430074 Peoples R China

ISBN: (纸本)9780819498045

Image rectification reduce the search space from 2-dimension to 1-dimension and improve the searching efficiency of stereo matching algorithm greatly. In this paper, a simple and convenient method, which fully considered image sequence of monocular motion vision, is proposed to rectify the calibrated image sequence. The method is based on coordinate system transformation, which can avoid the mass and complex computations, and the method rectifies image sequence (three images) at once, which is efficient in image sequence processing. In this method, the rectification is composed of several steps. Firstly, we establish a reference coordinate system by three movement position. The Z axis of the reference coordinate system o_XYZ is the normal vector of the plane which three positions located. The direction of X axis coincides with the baseline from position 2 to position 1. We set Y axis according to right-hand principle. Secondly, we set the x axis and z axis of reference image space coordinate system o_xyz coincides with the X axis and Z axis of the reference coordinate system, and the y axis is set to coincide with the line from position 2 to position 3. Finally, we deduce a homography matrix to realize the image rectification. Both image data and computer simulation data show that the method is an effective rectification method.

关键词： image rectification calibrated cameras coordinated transformation homography matrix

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Research on the selection of innovation compound using possibility construction space theory and fuzzy pattern recognition

Research on the selection of innovation compound using possi...

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mippr 2009 - pattern recognition and computer vision: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Xie, Songhua Li, Dehua Nie, Hui Institute for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China School of Science Wuhan University of Technology Wuhan 430070 China HU BEI O and F Technology Company Wuhan 430035 China

ISBN: (纸本)9780819478078

There are a large number of fuzzy concepts and fuzzy phenomena in traditional Chinese medicine, which have led to great difficulties for study of traditional Chinese medicine. In this paper, the mathematical methods are used to quantify fuzzy concepts of drugs and prescription. We put forward the process of innovation formulations and selection method in Chinese medicine based on the Possibility Construction Space Theory (PCST) and fuzzy pattern recognition. Experimental results show that the method of selecting medicines from a number of characteristics of traditional Chinese medicine is consistent with the basic theory of traditional Chinese medicine. The results also reflect the integrated effects of the innovation compound. Through the use of the innovation formulations system, we expect to provide software tools for developing new traditional Chinese medicine and to inspire traditional Chinese medicine researchers to develop novel drugs. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： pattern recognition

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Object detection with geometric context of keypoints described as lifetime

Object detection with geometric context of keypoints describ...

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mippr 2009 - pattern recognition and computer vision: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Gao, Changxin Gao, Jun Tang, Qiling Sang, Nong Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei 430074 China

ISBN: (纸本)9780819478078

We develop a novel approach for object detection and location task. This paper proposed a novel method to represent local regions around keypoints, called lifetime. Lifetime of a keypoint is used to describe its stability. Together with geometric relationships extractor, lifetime representations are embedded into a bag-of-features framework. The framework has following properties. First, the keypoints are represented as the lifetime rather than vector-quantized. Second, a simple and computationally efficient spatial pyramid structure is used to extract the geometric relationships between the keypoints. We demonstrate the efficacy of the proposed approach on UIUC car dataset. The experimental results showed that our approach has an excellent performance for object detection and localization. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Object detection

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Morphology Based Field Rice Density Detection from Rice Transplant stage to Rice Jointing Stage

Morphology Based Field Rice Density Detection from Rice Tran...

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8th Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Bai, X. D. Cao, Z. G. Wang, Y. Ye, M. N. Yu, Z. H. Li, Y. N. Huazhong Univ Sci & Technol Inst Pattern Recognit & AI Natl Key Lab Sci & Tech Multispectral Informat Pr Wuhan 430074 Peoples R China

ISBN: (纸本)9780819498045

Rice yield estimation is an important aspect in the agriculture research field. For the rice yield estimation, rice density is one of its useful factors. In this paper, we propose a new method to automatically detect the rice density from the rice transplanting stage to rice jointing stage. It devotes to detect rice planting density by image low-level features of the rice image sequences taken in the fields. Moreover, a rice jointing stage automatic detection method is proposed so as to terminate the rice density detection algorithm. The validities of the proposed rice density detection method and the rice jointing stage automatic detection method are proved in the experiment.

关键词： field rice density detection morphology processing rice jointing stage plant growing observation

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A conditional random field model for 3D reconstruction in image sequences

A conditional random field model for 3D reconstruction in im...

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mippr 2009 - pattern recognition and computer vision: 6th International Symposium on Multispectral Image Processing and pattern recognition

作者： Zhang, Dazhi Gong, Junbin Wang, Yongtao Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478078

An airborne vehicle must avoid obstacles like towers, fences, tree branches, mountains and building across the flight path. So the ability to detect and locate obstacles using on-board sensors is an essential step in the autonomous navigation of aircraft low-altitude flight. In this paper, a novel passive range method using conditional random field (CRF) is presented to map the 3D scene in front of a moving aircraft with image sequences obtained from a forward-looking imaging sensor. Finally, An dynamic graph cuts method was presented for the CRF model to recursively update thedepth map. Experimental data demonstrates the effectiveness of our approach. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Random processes

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Error Analysis in Stereo vision for Location Measurement of 3D Point 9

Error Analysis in Stereo Vision for Location Measurement of ...

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9th International Symposium on Multispectral Image Processing and pattern recognition (mippr) - pattern recognition and computer vision

作者： Li, Yunting Zhang, Jun Tian, Jinwen Huazhong Univ Sci & Technol Sch Automat Natl Key Lab Sci & Technol Multispectral Informat Wuhan 430074 Peoples R China

ISBN: (纸本)9781510600546

Location measurement of 3D point in stereo vision is subjected to different sources of uncertainty that propagate to the final result. For current methods of error analysis, most of them are based on ideal intersection model to calculate the uncertainty region of point location via intersecting two fields of view of pixel that may produce loose bounds. Besides, only a few of sources of error such as pixel error or camera position are taken into account in the process of analysis. In this paper we present a straightforward and available method to estimate the location error that is taken most of source of error into account. We summed up and simplified all the input errors to five parameters by rotation transformation. Then we use the fast algorithm of midpoint method to deduce the mathematical relationships between target point and the parameters. Thus, the expectations and covariance matrix of 3D point location would be obtained, which can constitute the uncertainty region of point location. Afterwards, we turned back to the error propagation of the primitive input errors in the stereo system and throughout the whole analysis process from primitive input errors to localization error. Our method has the same level of computational complexity as the state-of-the-art method. Finally, extensive experiments are performed to verify the performance of our methods.

关键词： error analysis midpoint method multiple errors stereo vision

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From primal sketch to 2.1D sketch with contour reorganization

From primal sketch to 2.1D sketch with contour reorganizatio...

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Conference on pattern recognition and computer vision

作者： Gao, Ru-xin Sang, Nong Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469526

This paper proposed a model for 2.1D sketch based on primalsketch [6,7] and a corresponding algorithm based on SWC(Swendsen-Wang Cut)[1,2]. Given a primal sketch graph, all boundaries' color and curvature information can be gotten from the dictionary of image primitives of the primal sketch. Suppose all curves in the sketch graph can be combined into closed contours and then contour can be combined into regions. Calculating boundaries similarity energy of two regions by comparing the comparability using the color and curvature information of boundaries, then the energy is regarded as the proposal of SWC. All regions are regarded as nodes of graph space, then the 2.1D sketch problem can be looked as graph partition problem. In each step, all curves will be reorganized into contours and then contours generate regions. Some experiment results based on above model and algorithm are given in the paper.

关键词： layer representation 2.1D sketch Bayesian inference contour completion mixed Markov field Swendsen-Wang cut MCMC

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