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检索条件"任意字段=MIPPR 2007: Pattern Recognition and Computer Vision"

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Extraction of wheat ears with statistical methods based on texture analysis

Extraction of wheat ears with statistical methods based on t...

引用

2nd International Conference on computer Graphics Theory and Applications/2nd International Conference on computer vision Theory and Applications

作者： Bakhouche, M. Cointault, F. Gouton, P. Enesad UP GAP 21 Bd Olivier Serres F-21800 Quetigny France Univ Burgundy LE2I UMR CNRS 5158 Dijon 21078 France

ISBN: (纸本)9789728865740

In the agronomic domain, the simplification of crop counting is a very important and fastidious step for technical institutes such as Arvalis, which has then proposed us to use image processing to detect the number of wheat cars in images acquired directly in a field. Texture image segmentation techniques based on feature extraction by first and higher order statistical methods have been developped for unsupervised pixel classification. The K-Means algorithm is implemented before the choice of a threshold to highlight the ears. Three methods have been tested with very heterogeneous results, except the run length technique for which the results are closed to the visual counting with an average error of 6%. Although the evaluation of the quality of the detection is visually done, automatic evaluation algorithms are currently implementing. Moreover, other statistical methods of higher order must be implemented in the future jointly with methods based on spatio-frequential transforms and specific filtering.

关键词： image processing texture analysis pattern recognition agronomy

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An adaptive nonparametric discriminant analysis method and its application to face recognition

An adaptive nonparametric discriminant analysis method and i...

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8th Asian Conference on computer vision, ACCV 2007

作者： Huang, Liang Yong, Ma. Ijiri, Yoshihisa Lao, Shihong Kawade, Masato Zhao, Yuming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Sensing and Control Technology Lab. Omron Corporation Kyoto 619-0283 Japan

ISBN: (纸本)9783540763895

Linear Discriminant Analysis (LDA) is frequently used for dimension reduction and has been successfully utilized in many applications, especially face recognition. In classical LDA, however, the definition of the between-class scatter matrix can cause large overlaps between neighboring classes, because LDA assumes that all classes obey a Gaussian distribution with the same covariance. We therefore, propose an adaptive nonparametric discriminant analysis (ANDA) algorithm that maximizes the distance between neighboring samples belonging to different classes, thus improving the discriminating power of the samples near the classification borders. To evaluate its performance thoroughly, we have compared our ANDA algorithm with traditional PCA+LDA, Orthogonal LDA (OLDA) and nonparametric discriminant analysis (NDA) on the FERET and ORL face databases. Experimental results show that the proposed algorithm outperforms the others. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Face recognition

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Kernel-Bayesian framework for object tracking

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8th Asian Conference on computer vision, ACCV 2007

作者： Zhang, Xiaoqin Hu, Weiming Luo, Guan Maybank, Steve National Laboratory of Pattern Recognition Institute of Automation Beijing China School of Computer Science and Information Systems Birkbeck College London United Kingdom

ISBN: (纸本)9783540763857

This paper proposes a general Kernel-Bayesian framework for object tracking. In this framework, the kernel based method-mean shift algorithm is embedded into the Bayesian framework seamlessly to provide a heuristic prior information to the state transition model, aiming at effectively alleviating the heavy computational load and avoiding sample degeneracy suffered by the conventional Bayesian trackers. Moreover, the tracked object is characterized by a spatial-constraint MOG (Mixture of Gaussians) based appearance model, which is shown more discriminative than the traditional MOG based appearance model. Meantime, a novel selective updating technique for the appearance model is developed to accommodate the changes in both appearance and illumination. Experimental results demonstrate that, compared with Bayesian and kernel based tracking frameworks, the proposed algorithm is more efficient and effective. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Object recognition

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International Machine vision and Image Processing Conference, IMVIP 2007

International Machine Vision and Image Processing Conference...

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International Machine vision and Image Processing Conference, IMVIP 2007

ISBN: (纸本)0769528872

The proceedings contain 37 papers. The topic discussed include: recognition strategies in machine vision applications;challenges for autonomous mobile robots;near-circular corner and edge detection operators;shoeprint image retrieval by topological and pattern spectra;range image feature extraction with varying degrees of data irregularity;segmentation of three-dimensional objects from background in digital holograms;a design procedure for gradient operators on hexagonal images;a survey of computer-based deformable models;incorporating feature based priors into the geodesic active contour model and its application in biomedical imagery;computerised skin lesion surface analysis for pigment asymmetry quantification;investigation of methodologies for the segmentation of squamous epithelium from cervical histological virtual slides;and cell nuclei segmentation combining multiresolution analysis, clustering methods and colour spaces.

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A study on eye gaze estimation method based on cornea model of human eye

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3rd International Conference on computer vision/computer Graphics (MIRAGE 2007)

作者： Lee, Eui Chul Park, Kang Ryoung Sangmyung Univ Dept Comp Sci Biometr Engineering Res Ctr (BERC) 7 Hongji-dong Seoul South Korea Sangmyung Univ Div Digital Media Technol Biometr Engineering Res Ctr (BERC) Seoul South Korea

ISBN: (纸本)9783540714569

In this paper, we propose a new gaze estimation method by analyzing the cornea surface model which is estimated through three dimensional analysis of human eye in HMD (Head Mounted Display) environments. This paper has four advantages over previous works. First, in order to obtain accurate gaze position, we use a cornea sphere model based on Gullstrand eye scheme. Second, we calculate the 3D position of the cornea sphere and a gaze vector by using a camera, three collimated IR-LEDs and one illuminated IR-LED. Third, three coordinates such as camera, monitor and eye coordinates are unified, which can simplify the complex 3D converting calculation and allow for calculation of the 3D eye position and gaze position on a HMD monitor. Fourth, a simple user dependent calibration method is proposed by gazing at one position of HMD monitor based on Kappa compensation. Experimental results showed that the average gaze estimation error of the proposed method was 0.89 degrees.

关键词： pattern recognition

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Pedestrian recognition from a moving catadioptric camera

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29th Annual Symposium of the Deutsche Arbeitsgemeinschaft fur Mustererkennung, DAGM 2007

作者： Schulz, Wolfgang Enzweiler, Markus Ehlgen, Tobias DaimlerChrysler AG Group Research and Advanced Engineering Univ. of Mannheim Dept. of Mathematics and Computer Science CVGPR Group

ISBN: (纸本)3540749330

This paper presents a real-time system for vision-based pedestrian recognition from a moving vehicle-mounted catadioptric camera. For efficiency, a rectification of the catadioptric image using a virtual cylindrical camera is employed. We propose a novel hybrid combination of a boosted cascade of wavelet-based classifiers with a subsequent texture-based neural network involving adaptive local features as final cascade stage. Within this framework, both fast object detection and powerful object classification are combined to increase the robustness of the recognition system. Further, we compare the hybrid cascade framework to a state-of-the-art multi-cue pedestrian recognition system utilizing shape and texture cues. Image distortions of the objects of interest due to the virtual cylindrical camera transformation are both explicitly and implicitly addressed by shape transformations and machine learning techniques. In extensive experiments, both systems under consideration are evaluated on a real-world urban traffic dataset. Results show the contributions of the various components in isolation and document superior performance of the proposed hybrid cascade system. © Springer-Verlag Berlin Heidelberg 2007.

关键词： pattern recognition

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Convergence of map seeking circuits

Convergence of map seeking circuits

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19th Brazilian Symposium on computer Graphics and Image Processing (SIBGRAPI 2006)

作者： Gedeon, Tomas Arathorn, David Montana State Univ Dept Math Sci Bozeman MT 59715 USA Montana State Univ Gen Intelligence Corp Ctr Computat Biol Bozeman MT 59715 USA

The map-seeking circuit (MSC) is an explicit biologically-motivated computational mechanism which provides practical solution of problems in object recognition, image registration and stabilization, limb inverse-kinematics and other inverse problems which involve transformation discovery. We formulate this algorithm as discrete dynamical system on a set Delta = Pi(L)(l=1)Delta((l)), where each Delta((l)) is a compact subset of a nonnegative orthant of R-n, and show that for an open and dense set of initial conditions in Delta the corresponding solutions converge to either a vector with unique nonzero element in each Delta((l)) or to a zero vector. The first result implies that the circuit finds a unique best mapping which relates reference pattern to a target pattern;the second result is interpreted as "no match found". These results verify numerically observed behavior in numerous practical applications.

关键词： map seeking circuits computer vision dynamical systems Lyapunov function

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Robust feature descriptors for efficient vision-based tracking

Robust feature descriptors for efficient vision-based tracki...

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12th Iberoamerican Congress on pattern recognition

作者： Carrera, Gerardo Savage, Jesus Mayol-Cuevas, Walterio Univ Nacl Autonoma Mexico Dept Elect Engn Biorobot Lab Mexico City 04510 DF Mexico Univ Bristol Comp Sci Bristol BS8 1UB Avon England

ISBN: (纸本)9783540767244

This paper presents a robust implementation of an object tracker able to tolerate partial occlusions, rotation and scale for a variety of different objects. The objects are represented by collections of interest points which are described in a multi-resolution framework, giving a representation of those points at different scales. Inspired by [1], a stack of descriptors is built only the first time that the interest points are detected and extracted from the region of interest. This provides efficiency of representation and results in faster tracking due to the fact that it can be done off-line. An Unscented Kalman Filter (UKF) using a constant velocity model estimates the position and the scale of the object, with the uncertainty in the position and the scale obtained by the UKF, the search of the object can be constrained only in a specific region in both the image and in scale. The use of this approach shows an improvement in real-time tracking and in the ability to recover from full occlusions.

关键词： object tracking Harris detector speeded-up robust features (SURF) unscented Kalman filter

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Benchmarking 3D reconstructions from Next Best View planning

Benchmarking 3D reconstructions from Next Best View planning

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10th IAPR Conference on Machine vision Applications, MVA 2007

作者： Munkelt, Christoph Trummer, Michael Denzler, Joachim Wenhardt, Stefan Fraunhofer IOF Albert-Einstein-Straße 7 07745 Jena Germany Department of Computer Vision Friedrich Schiller University of Jena Ernst-Abbe-Platz 2 07743 Jena Germany Department of Pattern Recognition Friedrich Alexander University of Erlangen Martensstr. 3 91058 Erlangen Germany

ISBN: (纸本)9784901122078

The problem of planning the Next Best View (NBV) still poses many questions. However, the achieved methods and algorithms are hard to compare, since researchers use their own test objects for planning and reconstruction and compute specific quality measures. Consequently, these numbers make different statements about different objects. Thus, the quality of the results and the performance of the methods are not easily comparable. In order to mend this lack of measure and comparability, this paper suggests a test object together with a reference benchmark. These allow comparison of reconstruction results from different NBV algorithms achieved with different techniques and various kinds of sensors.

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Hand gesture recognition using fast multi-scale analysis

Hand gesture recognition using fast multi-scale analysis

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4th International Conference on Image and Graphics

作者： Fang, Yikai Cheng, Jian Wang, Kongqiao Lu, Hanqing Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100080 Peoples R China Nokia Res Ctr Beijing 100013 Peoples R China

ISBN: (纸本)9780769529295

Hand gesture has been used as a natural and efficient way in human computer interaction. Due to independence of auxiliary input devices, vision-based hand interfaces is more favorable for users. However the process of hand gesture recognition is very time consuming, which often brings much frustration to users. In this paper we propose a fast feature detection and description approach which can significantly speed up hand gesture recognition. Firstly, integral image is used to approximate Gaussian derivatives to calculate image convolution in feature detection. Then multi-scale geometric descriptors at feature points are obtained to represent hand gestures. Finally gesture is recognized with its geometric configuration. Experiments show that the proposed method needs much less time consumption while obtains comparative performance with its counterpart in literatures.

关键词： Human computer interaction

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