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Intensity and region-of-interest-based finite-element modeling of brain deformation

International Congress Series 2004年第C期1268卷 373-377页

作者： Shi, Hongjian Farag, Aly Computer Vision Image Processing Laboratory Electrical Computer Engineering University of Louisville Louisville KY 40292 403 Lutz Hall Building United States

This paper proposes intensity and region-of-interest-based finite-element modeling of brain deformation. The modeling is based on the intensities of voxels within each element and motion analysis of region of interest (ROI) for image-guided minimally invasive surgery (MIS) applications. It is proposed to configure an ROI at the tip of surgical tools instead of the whole brain, so that the FEM is applied only on the ROI, and the maximum nodal displacement outside the ROI is small and in control. The deformed MR image using the proposed finite-element modeling shows better proportion to its original structures. © 2004, Elsevier Science B.V. All rights reserved.

关键词： Brain deformation Finite-element modeling Minimal invasive surgery

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Resolving ambiguity in depth extraction for motion capture using genetic algorithm

Resolving ambiguity in depth extraction for motion capture u...

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2002 Congress on Evolutionary Computation, CEC 2002

作者： Wai, Yin Yee Chow, Chi Kin Lee, Tong Computer Vision and Image Processing Laboratory Dept. of Electronic Engineering Chinese University of Hong Kong Shatin Hong Kong

ISBN: (纸本)0780372824

There is considerable interest in motion capture from an image sequence taken from a video camera. However, since the images only consist of 2D information, the distance of an object from the image plane cannot be determined uniquely unless some constraints are imposed. Coplanar motion is a popular constraint adopted for this purpose. If the captured motion is not coplanar, only two possible solutions can be obtained at the best even the actual size of the object is given. Therefore, the motion cannot be captured without resolving the distances of each control point from the image plane. By assuming smooth transition, the problem is formulated as one minimizing the transition between image frames and the application of GA to solve this optimization problem is proposed. © 2002 IEEE.

关键词： Video cameras

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Unscented transformation for depth from motion-blur in videos

Unscented transformation for depth from motion-blur in video...

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2010 IEEE computer Society Conference on computer vision and Pattern Recognition - Workshops, CVPRW 2010

作者： Paramanand, C. Rajagopalan, A.N. Image Processing and Computer Vision Laboratory Department of Electrical Engineering Indian Institute of Technology Madras Chennai 600 036 India

ISBN: (纸本)9781424470297

In images and videos of a 3D scene, blur due to camera shake can be a source of depth information. Our objective is to find the shape of the scene from its motion-blurred observations without having to restore the original image. In this paper, we pose depth recovery as a recursive state estimation problem. We show that the relationship between the observation and the scale factor of the motion-blur kernel associated with the depth at a point is nonlinear and propose the use of the unscented Kalman filter for state estimation. The performance of the proposed method is evaluated on many examples. © 2010 IEEE.

关键词： State estimation

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A volumetric 3D model of the human jaw

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International Congress Series 2005年 1281卷 1244-1249页

作者： Hassan, Hossam El-Baz, Ayman Farag, Aly A. Farman, Allan G. Tasman, D. Miller, William M. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY United States Dental School University of Louisville Louisville KY United States

The purpose of this paper is to introduce a detailed approach for constructing a complete model of the human jaw. Our previous work developed an accurate model of the human jaw surface. Unfortunately this surface is not enough for the analysis purpose which requires a detailed model of the teeth and their roots. A database of volumetric 3D models of teeth is constructed from the CT scans. The crown the tooth coming from the shape modeling algorithm provided in our previous work is matched with one of the database teeth. A registration technique is used to deform the matched tooth with our previous derived surface model. Combining this information with the jaw details and X-ray information of the roots, we can now derive a complete volumetric 3D model of the human jaw. This model is suitable for the analysis process which will include finite element work to analyze the stress and strain for different simulations. The simulations processes will include, among others, tooth-implanting and alignment. © 2005.

关键词： Human jaw Registration Segmentation

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Deformable Models 1

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丛书名： Topics in Biomedical Engineering. International Book Series

1000年

作者： Aly A. Farag Jasjit S. Suri

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2D and 3D shape based segmentation using deformable models

2D and 3D shape based segmentation using deformable models

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8th International Conference on Medical image Computing and computer-Assisted Intervention - MICCAI 2005

作者： El-Baz, Ayman Yuksel, Seniha E. Shi, Hongjian Farag, Aly A. El-Ghar, Mohamed A. Eldiasty, Tarek Ghoneim, Mohamed A. Computer Vision and Image Processing Laboratory University of Louisville Louisville KY 40292 Mansoura University Urology and Nephrology Center Mansoura Egypt

ISBN: (纸本)3540293264

A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on the gray level of the images but also on the shape information which is obtained from the signed distance maps of objects in a given data set. The gray level distribution and the signed distance map of the points inside and outside the object of interest are accurately estimated by modelling the empirical density function with a linear combination of discrete Gaussians (LCDG) with positive and negative components. Experimental results on the segmentation of the kidneys from low-contrast DCE-MRI and on the segmentation of the ventricles from brain MRFs show how the approach is accurate in segmenting 2-D and 3-D data sets. The 2D results for the kidney segmentation have been validated by a radiologist and the 3D results of the ventricle segmentation have been validated with a geometrical phantom. © Springer-Verlag Berlin Heidelberg 2005.

关键词： image segmentation

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Lighting analysis and texture modification of 3D human face scans

Lighting analysis and texture modification of 3D human face ...

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Australian Pattern Recognition Society (APRS)

作者： Xiaozheng, Zhang Sanqiang, Zhao Yongsheng, Gao Computer Vision and Image Processing Laboratory Griffith School of Engineering Griffith University 170 Kessels Road Nathan QLD 4111 Australia

ISBN: (纸本)0769530672

The 3D scanning of human faces is an important tool to acquire accurate shape and texture information of heads and faces for both animation and recognition purposes. One of the most popular scanning tools is Cyberware head and face 3D colour scanner. Currently, 3D face databases scanned using the Cyberware head and face 3D colour scanner databases are publicly available and have been used in many face recognition system as the training data, one of which is USF human ID 3-D database. The mechanism of facial texture capturing, however, remains unclear due to the special settings of the light sources during scanning. The direct application of the acquired texture intensity as the albedo of the face surfaces leads to suboptimal modelling results. This paper analyses the lighting configuration of the scanner and proposes an appropriate reflectance model to describe the reflecting mechanism when scanning. The texture modifications can be carried on in the existing scanning results without any further scans. Experiment results show that the proposed reflectance model can better approximate the reflecting situation of scanning so that the acquired textures can be directly used as diffuse reflectance coefficients and achieve better rendering results. © 2007 IEEE.

关键词： Scanning

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Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system

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IEEE Transactions on Intelligent Transportation Systems 2009年第1期10卷 70-82页

作者： Cherng, Shen Fang, Chiung-Yao Chen, Chia-Pei Chen, Sei-Wang Department of Computer Science and Information Engineering Chengshiu University Kaohsiung 833 Taiwan Laboratory for Computer Vision and Image Processing Department of Computer Science and Information Engineering National Taiwan Normal University Taipei 116 Taiwan Chunghwa Telecom Laboratories Taoyuan 32617 Taiwan

Driving always involves risk. Various means have been proposed to reduce the risk. Critical motion detection of nearby moving vehicles is one of the important means of preventing accidents. In this paper, a computational model, which is referred to as the dynamic visual model (DVM), is proposed to detect critical motions of nearby vehicles while driving on a highway. The DVM is motivated by the human visual system and consists of three analyzers: 1) sensory analyzers, 2) perceptual analyzers, and 3) conceptual analyzers. In addition, a memory, which is called the episodic memory, is incorporated, through which a number of features of the system, including hierarchical processing, configurability, adaptive response, and selective attention, are realized. A series of experimental results with both single and multiple critical motions are demonstrated and show the feasibility of the proposed system. © 2006 IEEE.

关键词： Motion analysis

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A robust 3-D reconstruction system for human jaw modeling 2nd

A robust 3-D reconstruction system for human jaw modeling

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2nd International Conference on Medical image Computing and computer-Assisted Intervention, MICCAI 1999

作者： Yamany, Sameh M. Farag, Aly A. Tasman, David Farman, Allan G. Computer Vision and Image Processing Laboratory University of Louisville United States School of Dentistry Univeristy of Louisville LouisvilleKY40292 United States

ISBN: (纸本)354066503X

This paper presents a model-based vision system for dentistry that will assist in diagnosis, treatment planning and surgical simulation. Dentistry requires the accurate 3-D representation of the teeth and jaws for diagnostic and treatment purposes. The proposed integrated computer vision system reconstructs a 3-D model of the patient’s dental occlusion using an intra-oral video camera. A modified shape from shading (SFS) technique, using perspective projection and camera calibration, extracts the 3-D information from a sequence of 2-D images of the jaw. Data fusion and 3-D registration techniques develop the complete jaw model. Triangulization is then performed, and a solid 3-D model is obtained via rapid prototyping. The system performance is investigated using ground truth data, and the results show sub-millimeter reconstruction accuracy. The system is shown to be robust in terms of speed and accuracy compared to current practices. © Springer-Verlag Berlin Heidelberg 1999.

关键词： image reconstruction

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Static human behavior classification based on LLC features and GIST features 7

Static human behavior classification based on LLC features a...

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7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

作者： Ende, Wang Xukui, Hou Xuepeng, Li Shenyang Institute of Automation Chinese Academic of Sciences Key Lab of Image Understanding and Computer Vision Key Laboratory of Optical Electrical Image Processing Shenhe District Shenyang Liaoning China

ISBN: (纸本)9781538604892

This paper presents a method for recognizing human behavior in static images based on LLC and GIST features. The feature points in the image is densely located in sub-region of images and we extract SIFT feature from each sub-region. Then using the LLC method to encode the extracted dense SIFT features of each sub-region and each feature point descriptor is assigned to several nearest words, so that each descriptor can be expressed by the linear correlation coefficient of vocabulary. In order to increase the spatial information, we use the SPM model to divide the image into many blocks under different levels. We can get the pooled feature from each sub-region using the max pooling method. Then these pooled features from sub-region are concatenated and normalized as the final pooled features. In order to get GIST features, we divide the image into blocks and construct the Gabor filter group of 32 different scales and directions. Then each Gabor filter in the Gabor filter group does convolution operation with image blocks and we take the mean value of each blocks under each Gabor filter as the feature description. The features from each block under each Gabor filter are concatenated and normalized as the final GIST feature representation of the image. Then concatenating the final pooled features and the GIST features and take as the final feature representation. Finally, the intersection kernel function of SVM is used for classification. We performed experiments on several databases. By contrast, this algorithm has a good effect in accuracy and efficiency. © 2017 IEEE.

关键词： Gabor filters

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