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Spatial localization of concurrent multiple sound sources

Spatial localization of concurrent multiple sound sources

引用

2010 2nd International Symposium on Aware Computing, ISAC 2010

作者： Li, Huakang Saji, Akira Tanno, Keita Ma, Jun Huang, Jie Zhao, Qunfei School of Computer Science and Engineering University of Aizu Aizu-Wakamatsu 965-8580 Japan Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781424483143

Based on the human auditory system for spatial localization theory, we proposed a spatial localization of multiple sound sources using a spherical robot head. Space sound vectors recorded by a microphone array with spatial configuration, are used to estimate the histograms of spatial arrival time difference vectors by solving the simultaneous equations in different frequency bands. The echo avoidance model based on precedence effect is used to reduce the interference of environment reverberations which provide the strong interference for phase vectors especially in small indoor environments. To integrate spatial cues of different microphone pairs, we propose a mapping method from the correlation between different microphone pairs to a 3D map corresponding to azimuth and elevation of sound sources directions. Experiments indicate that the system provides the distribution of sound source in azimuth-elevation localization, even concurrently in reverberant environments. ©2010 IEEE.

关键词： Reverberation

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Two-dimensional neighborhood preserving embedding for face recognition

Two-dimensional neighborhood preserving embedding for face r...

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2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

作者： Jianjun Zhao Sheng Wang Haishun Du Na Xu Institute of Image Processing and Pattern RecognitionHenan UniversityKaifeng Henan China Institute of Image Processing and Pattern Recognition Henan University Kaifeng Henan China

Neighborhood Preserving Embedding (NPE) is a subspace learning algorithm, which has the ability of preserving local neighborhood structure on the data manifold. Though NPE has been applied in many domains of pattern recognition, it is a vectorbased method and will be encountered the small size sample (SSS) problem when it is directly applied to face recognition. To address this problem, the popular method is to use PCA prior to performing NPE, but the preprocessing procedure using PCA could result in the loss of some important discriminatory information. In this paper, a novel method called twodimensional neighborhood preserving embedding (2DNPE) is proposed to extract the features for face recognition. Extensive experiments are performed to test and evaluate the new method using ORL and Yale face database. The experimental results indicate that the 2DNPE method has better face recognition performance and more effective.

关键词： neighborhood preserving embedding(NPE) twodimensional neighborhood preserving embedding(2DNPE) subspace learning face recognition

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An interactive method for computing tooth-root orientation from 3D CT image

An interactive method for computing tooth-root orientation f...

引用

2010 International Conference on Medical image Analysis and Clinical Application, MIACA 2010

作者： Xie, Jie Liu, Yang Yin, Jilin Qiu, Tiantian Huang, Yuanliang Wang, Lisheng Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiaotong University Shanghai 200240 China Department of Dentistry Shanghai East Hospital Affiliated to Tongji University Shanghai 200120 China

ISBN: (纸本)9781424480128

In tooth implantation surgery, dentist or surgeon needs to derive quantitative information about the place each implant should be go, the length and width of each implant should be, as well as the angle each implant should be inserted, based on the 3D CT image of jaw of a patient. In existing techniques, the information is measured from such slices that are generated from virtually cutting teeth-ridge along the direction perpendicular to teeth-ridge. However, according to the clinical experience and anatomical knowledge, usually the largest length of each implant should be measured on such slice that is generated by cutting teethridge along the tooth root direction. Besides, for each defect tooth, the most suitable angle or orientation to insert an implant is the tooth root orientation. Thus, in surgical planning of dental implant, it is much important to compute or estimate tooth root orientation from 3D CT image of jaw. To our knowledge, this problem is seldom studied in existing literature. In this paper, we try to discuss this problem. © 2010 IEEE.

关键词： Dental prostheses

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Human Gait recognition by Integrating Motion Feature and Shape Feature

Human Gait Recognition by Integrating Motion Feature and Sha...

引用

International Conference on Multimedia Technology

作者： Bing Sun Junchi Yan Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424478712

Gait is thought to be the most effective feature for human recognition in the distance. For optimal performance, the feature should include as many different types of information as possible, so in this paper, we present an integrated feature, which integrates motion feature and shape feature based on the Bayesian theory. For motion feature, we use shape variation-based frieze pattern (SVB frieze pattern) as the basis, since it can solve the ball or backpack problems very well, then we match the SVB frieze pattern feature by dynamic time warping (DTW). For shape feature, we use gait energy image (GEI) as the basis, since it is less sensitive to the silhouette noise, then we extract further information by histograms of oriented gradients (HOG) and do the dimensionality reduction by coupled subspaces analysis (CSA) and discriminant analysis with tensor representation (DATER). The proposed approach is tested on the CMU MoBo gait database. The result shows that the proposed approach is an efficient way in increasing the accuracy.

关键词： Feature extraction Humans Shape Legged locomotion Data mining Histograms

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A fusion-based method for 3D facial gender classification

A fusion-based method for 3D facial gender classification

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International Conference on Computer and Automation Engineering, ICCAE

作者： Yuan Hu Jingqi Yan Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424455690

In this paper, we propose a novel fusion-based gender classification method for 3D frontal neutral expression facial shape. Face landmarks, extracted from 3D face shape based on profiles and curvature, are separated as four regions. Experimental investigation to evaluate the significance of different facial regions in the task of gender classification is performed. The classification is performed by using Support Vector Machines (SVMs) based on the feature of regions. Classification results show that the upper region of face contains the highest amount of gender information. Matcher weighting fusion method is also applied to fusion the classification result of four regions. Experimental results demonstrate that fusing multiple facial features can achieve highest correct classification rate to 94.3%.

关键词： Shape Face detection Nose Facial features image databases Electronics packaging Support vector machines Support vector machine classification Humans Face recognition

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Monocular 3D Tracking of Deformable Surfaces Using Linear Programming

Monocular 3D Tracking of Deformable Surfaces Using Linear Pr...

引用

International Conference on pattern recognition

作者： Chenhao Wang Xiong Li Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424475421

We present a method for 3D shape reconstruction of inextensible deformable surfaces from monocular image sequences. The key of our approach is to represent the surface as 3D triangulated mesh and formulate the reconstruction problem as a sequence of Linear Programming (LP) problems which can be effectively solved. The LP problem consists of data constraints which are 3D-to-2D keypoint correspondences and shape constraints which prevent large changes of the edge orientation between consecutive frames. Furthermore, we use a refined bisection algorithm to accelerate the computing speed. The robustness and efficiency of our approach are validated on both synthetic and real data.

关键词： image reconstruction Three dimensional displays Surface reconstruction Shape Computer vision Linear programming Cameras

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Model-based 3D human motion tracking and voxel reconstruction from sparse views

Model-based 3D human motion tracking and voxel reconstructio...

引用

IEEE International Conference on image processing

作者： Junchi Yan Jian Song Liwei Wang Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

This paper addresses a method for 3D human motion tracking and voxel-based reconstruction from sparse views. We adopt the annealed Gaussian based particle swarm optimization (AGPSO) for 3D human motion tracking. The AGPSO algorithm incorporates the temporal continuity information into the traditional particle swarm optimization (PSO) algorithm under a Bayesian framework. In the online tracking process, the state variables are estimated via the particle filtering, where the observation is designed as a minimized Markov Random Field (MRF) energy. Finally, voxel reconstruction is conducted using the skeleton shape prior via dynamic graph cut. The experimental results show that our method performs promisingly against the cluttered background and generates plausible voxel reconstructions from sparse views.

关键词： Three dimensional displays Tracking Humans image reconstruction Shape Skeleton Annealing

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A hole filling algorithm for medical imaging

A hole filling algorithm for medical imaging

引用

International Conference on Information Science and Engineering (ICISE)

作者： Lv Guo Yonghui Gao Yin Li Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

Surface integrity of 3D medical imaging is crucial for surgery simulation or virtual diagnoses. However, undesirable holes often exist due to external damage on bodies or accessibility limitation on scanners. To bridge the gap, the paper proposes an algorithm of filling holes for 3D medical image data based on moving least squares (MLS) method. In the algorithm, medical data is classified into two types and procedure is designed according to the classification. The procedure consists of two steps, namely hole detection and hole completion. In completion part, the detected hole can be automatically filled by interpolation with known surrounding points. Moreover, a threshold is used to constrain the density of the completed surface, so the sampling rate on reconstructed area complies with the original data. We test our algorithm on two types of medical data and the results indicate a robust solution.

关键词： Filling Three dimensional displays Surface reconstruction Medical diagnostic imaging Arrays image reconstruction

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3D space-time detection based control points selection of DSA

3D space-time detection based control points selection of DS...

引用

2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010

作者： Zhang, Fan Li, Bo Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China

ISBN: (纸本)9781424479689

A 3D space-time motion detection based DSA control point selection algorithm is proposed. Main content is to detect the movement of image points based on the control selection and registration algorithm and using DSA image sequences to speed up the registration of control points. The image features, such as the edge, are used as the control points to register image effectively. According to the location of control points, 3D space-time characteristics are used to search control points, and it will further reduce the number of control points, and make the control point registration more accurate. © 2010 IEEE.

关键词： 3D space-time characteristics 3D space-time detection 3D space-time detection 3D space-time motion detection DSA control point selection algorithm DSA image sequences control point registration control points control points registration control points selection control selection diagnostic radiography digital subtraction angiography image features image points image registration image registration image sequences medical image processing motion compensation registration algorithm

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Head Pose Estimation from Low-Resolution image with Hough Forest

Head Pose Estimation from Low-Resolution Image with Hough Fo...

引用

Chinese Conference on pattern recognition (CCPR)

作者： Ming Zhang Ke Li Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

An approach for head pose estimation has been proposed in this paper using Hough forest. The estimation of pose are generated by voting from image patches as in a Hough transform. The basic idea is that image patches which contain eyes, hair or neck can give rich information about the head position and orientation. The voting process is implemented by randomized forest which is an efficient and robust tool for classification and regression. The method is quantitatively evaluated by comparing the estimated pose to the ground truth.

关键词： Head Estimation Training Uncertainty Humans Target tracking Computer vision

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