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A general approach to model biomedical data from 3D unorganised point clouds with Medial Scaffolds

A general approach to model biomedical data from 3D unorgani...

引用

2nd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2010

作者： Leymarie, Frederic Fol Chang, Ming-Ching Imielinska, Celina Kimia, Benjamin B. Computing Dept. Goldsmiths College University of London United Kingdom Visualization and Computer Vision Lab. General Electric Global Research Center Niskayuna NY United States Department of Biomedical Informatics Columbia University United States Division of Engineering Brown University United States

ISBN: (纸本)9783905674286

We present the latest developments in modeling 3D biomedical data via the Medial Scaffold (MS), a 3D acyclic oriented graph representation of the Medial Axis (MA) [LK07, SP08]. TheMS (and associated 3DMA) can be computed as the result of the singularities of a geometric wave propagation simulation. We consider here some of the potential applications of this shape model in the realm of biomedical imaging. We can reconstruct complex object surfaces and make explicit the coarse-scale structures, which are ready-to-use in a number of practical applications, including: morphological measurement for cortex or bone thickness, centerline extraction (curve skeleton) for tracheotomy or colonoscopy, surface partitioning for cortical or anatomical surface classification, as well as registration and matching of shapes of tumors or carpal bones. TheMS permits to automatically and efficiently map an unorganised point cloud, i.e., simple 3D coordinates of point samples, to a coherent surface set and associated approximateMA. The derivedMS is used to further recover significant medium and large scale features, such as surface ridges and main axial symmetries. The radius field of theMS provides an intuitive definition for morphological measurements, while the graph structure made explicit by theMS is useful for shape registration and matching applications. © The Eurographics Association 2010.

关键词： Wave propagation

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Perceptually-motivated graphics, visualization and 3D displays 10

Perceptually-motivated graphics, visualization and 3D displa...

引用

ACM SIGGRAPH 2010 Courses, SIGGRAPH '10

作者： McNamara, Ann Mania, Katerina Banks, Marty Healey, Christopher Department of Visualization Texas A and M University 3137 TAMU College Station TX 77843-3137 United States Department of Electronic and Computer Engineering Technical University of Crete University Campus Kounoupidiana Chania Crete Greece Visual Space Perception Laboratory University of California Berkeley United States Department of Computer Science North Carolina State University 890 Oval Drive #8206 United States Marty Banks' Lab. University of California Berkeley Vision Science Berkeley CA 94720-2020 United States

ISBN: (纸本)9781450303958

This course presents timely, relevant examples on how researchers have leveraged perceptual information for optimization of rendering algorithms, to better guide design and presentation in (3D stereoscopic) display media, and for improved visualization of complex or large data sets. Each presentation will provide references and short overviews of cutting-edge current research pertaining to that area. We will ensure that the most up-to-date research examples are presented by sourcing information from recent perception and graphics conferences and journals such as ACM Transactions on Perception, paying particular attention work presented at the 2010 Symposium on Applied Perception in Graphics and visualization.

关键词： visualization

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Improved face model fitting on video sequences

Improved face model fitting on video sequences

引用

2007 18th British Machine vision Conference, BMVC 2007

作者： Liu, Xiaoming Wheeler, Frederick W. Tu, Peter H. Visualization and Computer Vision Lab General Electric Global Research Center Niskayuna NY 12309 United States

ISBN: (纸本)1901725340

Active Appearance Models (AAMs) represent the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAMs for facial images are currently receiving considerable attention from the computer vision community. However, most existing work focuses on fitting AAMs to a single image. For many applications, effectively fitting an AAM to video sequences is of critical importance and challenging, especially considering the varying quality of real-world video content. This paper proposes a hybrid model to address this problem. Both a generic AAM and a subject-specific model are employed simultaneously in the proposed fitting scheme. Experimental results from outdoor surveillance video sequences demonstrate the improved image registration across video frames and faster fitting convergence.

关键词： Video recording

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What are customers looking at?

What are customers looking at?

引用

IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Xiaoming Liu Nils Krahnstoever Ting Yu Peter Tu Visualization and Computer Vision Lab General Electric Global Research Niskayuna NY USA

computer vision approaches for retail applications can provide value far beyond the common domain of loss prevention. Gaining insight into the movement and behaviors of shoppers is of high interest for marketing, merchandizing, store operations and data mining. Of particular interest is the process of purchase decision making. What catches a customers attention? What products go unnoticed? What does a customer look at before making a final decision? Towards this goal we presents a system that detects and tracks both the location and gaze of shoppers in retail environments. While networks of standard overhead store cameras are used for tracking the location of customers, small in-shelf cameras are used for estimating customer gaze. The presented system operates robustly in real-time and can be deployed in a variety of retail applications.

关键词： Cameras Stereo vision Active appearance model computer vision Shape Head Face detection visualization Application software Data mining

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Image comparison by compound disjoint information

Image comparison by compound disjoint information

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2006 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 2006

作者： Sun, Zhaohui Hoogs, Anthony Visualization and Computer Vision Lab. GE Global Research One Research Circle Niskayuna NY 12309

ISBN: (纸本)0769525970

In this paper, we study disjoint information as a metric for image comparison and its applications in image matching, alignment, and video tracking. Disjoint information is the joint entropy of random variables excluding the mutual information. This measure of statistical dependence and information redundancy satisfies more rigorous metric conditions than mutual information. For image comparison, compound disjoint information is derived from the marginal densities of the image distributions. By using marginal densities other than color histograms, it can overcome the difficulties (such as a lack of spatial information) inherent in histogram-based mutual information methods and enrich the vocabulary of image description. Disjoint information is not sensitive to illumination and appearance changes, and it is particularly suited for multimodal applications. © 2006 IEEE.

关键词： Image analysis

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Face model fitting on low resolution images

Face model fitting on low resolution images

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2006 17th British Machine vision Conference, BMVC 2006

作者： Liu, Xiaoming Tu, Peter H. Wheeler, Frederick W. Visualization and Computer Vision Lab. General Electric Global Research Center Niskayuna NY 12309 United States

ISBN: (纸本)1904410146

Active Appearance Models (AAMs) represent the shape and appearance of an object via two low-dimensional subspaces, one for shape and one for appearance. AAMs for facial images are currently receiving considerable attention from the vision community. However, most existing work focuses on fitting AAMs to high-quality facial images. For many applications, effectively fitting an AAM to low-resolution facial images is of critical importance. This paper addresses this challenge from two aspects. On the modeling side, we propose an iterative AAM enhancement scheme, which not only results in increased fitting speed, but also improves the fitting robustness. For fitting AAMs to low-resolution images, we build a multi-resolution AAM and show that the best fitting performance is obtained when the model resolution is slightly higher than the facial image resolution. Experimental results using both indoor video and outdoor surveillance video are presented.

关键词： Image resolution

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Optimal pose for face recognition

Optimal pose for face recognition

引用

2006 IEEE computer Society Conference on computer vision and Pattern Recognition, CVPR 2006

作者： Liu, Xiaoming Chen, Tsuhan Rittscher, Jens Visualization and Computer Vision Lab. General Electric Global Research Center Schenectady NY 12309 Advanced Multimedia Processing Lab. Carnegie Mellon University Pittsburgh PA 15213

ISBN: (纸本)0769525970

Researchers in psychology have well studied the impact of the pose of a face as perceived by humans, and concluded that the so-called 3/4 view, halfway between the front view and the profile view, is the easiest for face recognition by humans. For face recognition by machines, while much work has been done to create recognition algorithms that are robust to pose variation, little has been done in finding the most representative pose for recognition. In this paper, we use a number of algorithms to evaluate face recognition performance when various poses are used for training. The result, similar to findings in psychology that the 3/4 view is the best, is also justified by the discrimination power of different regions on the face, computed from both the appearance and the geometry of these regions. We believe our study is both scientifically interesting and practically beneficial for many applications. © 2006 IEEE.

关键词： Face recognition

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Shiny parts measurement using color separation

Shiny parts measurement using color separation

引用

Two- and Three-Dimensional Methods for Inspection and Metrology III

作者： Hu, Qingying Harding, Kevin G. Du, Xiaoming Hamilton, Don Applied Optics Lab. GE GRC 1 Research Circle Schenectady NY 12309 Digital Manufacturing Lab. GE GRC 1800 CaiLun Road Shanghai China Visualization and Computer Vision Lab. GE GRC 1 Research Circle Schenectady NY 12309

In manufacturing, inspection and measurement systems have long been desired to be able to measure as many kinds of parts as possible without treating the surface. Specifically, measuring shiny parts has been a big challenge for optical metrology because of double-bounced light - a phenomenon that light can be reflected from an area to another on the surface. The unwanted light will result in higher noise and can even make the measured results unacceptable. Traditionally, a polarizer is placed in front of both the light sources and the camera. After properly adjusting the polarizer in front of the camera, the double bounced reflected light can be blocked to some degree while the normally reflected light can go through. By this way, the extra reflections can be reduced but not totally eliminated. This paper presents a new method to totally eliminate double bounced light. Here, color light sources are used to illuminate the part and multiple cameras are used to measure different areas. Each camera views through an appropriate color filter so that only a certain color light is seen. The measured results from all cameras are then merged together to create the complete image. This method is more efficient than the traditional solution that uses polarizers. Both measurement principle and some results are given.

关键词： Metric system

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Using the fast marching method to extract curves with given global properties

Using the fast marching method to extract curves with given ...

引用

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

作者： Tao, Xiaodong Davatzikos, Christos Prince, Jerry L. Visualization and Computer Vision Lab GE Global Research Center One Research Circle KW-C223A Niskayuna NY 12309 SBIA Department of Radiology University of Pennsylvania Philadelphia PA 19104 IACL Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD 21218

ISBN: (纸本)3540293264

Curves are often used as anatomical features to match surfaces that represent biological objects, such as the human brain. Automated and semi-automated methods for extracting these curves usually rely on local properties of the surfaces such as the mean surface curvature without considering the global appearance of the curves themselves. These methods may require additional human intervention, and sometimes produce erroneous results. In this paper, we present an algorithm that is based on the fast marching method (FMM) to extract weighted geodesic curves. Instead of directly using the local image properties as a weight function, we use the surface properties, together with the global properties of the curves, to compute a weight function. This weight function is then used by the FMM to extract curves between given points. The general framework can be used to extract curves with different global properties. The resulting curves are guaranteed to be weighted geodesic curves without cusps usually introduced by intermediate points through which the curves are forced to pass. We show some results on both a simulated image and a highly convoluted human brain cortical surface. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Biomedical engineering

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Online modeling and tracking of pose-varying faces in video

Online modeling and tracking of pose-varying faces in video

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Conference on computer vision and Pattern Recognition (CVPR)

作者： X. Liu T. Chen General Electric Global Research Center Visualization and Computer Vision Laboratory Schenectady NY USA Advanced Multimedia Processing Lab Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)0769523722

We propose a face mosaicing approach to model both the facial appearance and geometry from pose-varying videos, and apply it in face tracking and recognition. The basic idea is that by approximating the human head as a 3D ellipsoid, multi-view face images can be back projected onto the surface of the ellipsoid, and the surface texture map is decomposed into an array of local patches. During the online modeling process, the position and pose of the first frame is assumed to be known for a given video sequence. For each frame in the sequence, the algorithm estimates the face-position and pose, and generates a texture map, which is further utilized in updating the mosaic model.

关键词： Face recognition Solid modeling Geometry Ellipsoids Face detection Video sequences computer vision Humans Lighting Head

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