Most medical image processing techniques require the clinician to form a mental model of the anatomy being depicted. We present systems that allow a more direct visualization of anatomical shapes and measurement of pa...
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ISBN:
(纸本)0780386396
Most medical image processing techniques require the clinician to form a mental model of the anatomy being depicted. We present systems that allow a more direct visualization of anatomical shapes and measurement of parameters from medical image data, including time-dependent and multi-modal image sets. Cardiac-Station realistically represents heart motion and extracts clinical parameters from ventricular MR images, in the diagnosis of heart disease. Brain-Reg displays abnormal regions of the brain by registering multi-modal images, and supports the analysis of differences in the hippocampus between patients and a control group.
This paper addresses the issue of how information visualization techniques can be used to assist full-text search in electronic documents. Our approach supports multiple term queries with interactive treemaps. We use ...
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We address the problem of distributed information aggregation and storage in a sensor network, where queries can be injected anywhere in the network. The principle we propose is that a sensor should know a "fract...
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ISBN:
(纸本)1581138466
We address the problem of distributed information aggregation and storage in a sensor network, where queries can be injected anywhere in the network. The principle we propose is that a sensor should know a "fraction" of the information from distant parts of the network, in an exponentially decaying fashion by distance. We show how a sampled scalar field can be stored in this distributed fashion, with only a modest amount of additional storage and network traffic. Our storage scheme makes neighboring sensors have highly correlated world views;this allows smooth information gradients and enables local search algorithms to work well. We study in particular how this principle of fractionally cascaded information can be exploited to answer range queries about the sampled field efficiently. Using local decisions only we are able to route the query to exactly the portions of the field where the sought information is stored. We provide a rigorous theoretical analysis showing that our scheme is close to optimal.
We address the problem of distributed information aggregation and storage in a sensor network, where queries can be injected anywhere in the network. The principle we propose is that a sensor should know a "fract...
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We address the problem of distributed information aggregation and storage in a sensor network, where queries can be injected anywhere in the network. The principle we propose is that a sensor should know a "fraction" of the information from distant parts of the network, in an exponentially decaying fashion by distance. We show how a sampled scalar field can be stored in this distributed fashion, with only a modest amount of additional storage and network traffic. Our storage scheme makes neighboring sensors have highly correlated world views; this allows smooth information gradients and enables local search algorithms to work well. We study in particular how this principle of fractionally cascaded information can be exploited to answer range queries about the sampled field efficiently. Using local decisions only we are able to route the query to exactly the portions of the field where the sought information is stored. We provide a rigorous theoretical analysis showing that our scheme is close to optimal.
Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occup...
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Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occupant and the position of the occupant's head. This paper presents a method for classification and occupant's head detection based on passive stereo vision. The proposed system uses depth surface analysis and scene statistics together with support vector machines for classification and selection of head candidates. Evaluation of the method shows 99% correct for classification and 98% correct for head detection, using large sets of image data, and image sequences recorded in a driving vehicle.
Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occup...
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Vehicle occupants that are out-of-position can be deadly injured by the deployment of the air bag in a crash situation. In recent years many different sensors and systems have been proposed to detect the type of occupant and the position of the occupant's head. This work presents a method for classification and occupant's head detection based on passive stereo vision. The proposed system uses depth surface analysis and scene statistics together with support vector machines for classification and selection of head candidates. Evaluation of the method shows 99% correct for classification and 98% correct for head detection, using large sets of image data, and image sequences recorded in a driving vehicle.
This paper presents a fast haptic rendering method providing the sense of touch from a virtual volumetric non-rigid object when a human operator interacts with the object at multiple points. Previously, we have propos...
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ISBN:
(纸本)0769521126
This paper presents a fast haptic rendering method providing the sense of touch from a virtual volumetric non-rigid object when a human operator interacts with the object at multiple points. Previously, we have proposed a fast volume haptic rendering method based on the shape-retaining chain linked model (or the S-chain model) that can handle the deformation of a volumetric non-rigid object and its haptic feedback in real time. One of the key differences between the S-chain model and a traditional FEM or mass-spring model is that the computation of the deformation and its reflected force is performed at a local level. When there are more than one interaction points with the object, it is necessary to consider a modeling framework that can handle human operator's all inputs together. In this paper, we propose a modeling framework in which forces generated at interaction points are vectorially summed to deal with the multiple contact points. Our experiments demonstrate that our proposed method is suitable for the real-time volume haptic rendering of a volumetric non-rigid object with multiple-contact points.
This paper presents a new interactive rendering and display technique for complex scenes with expensive shading, such as global illumination. Our approach combines sparsely sampled shading (points) and analytically co...
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The emergence of mobile devices in multimedia home entertainment demands new application scenarios like ubiquitous multimedia access. However today's home entertainment appliances are usually based on a closed har...
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ISBN:
(纸本)0889863806
The emergence of mobile devices in multimedia home entertainment demands new application scenarios like ubiquitous multimedia access. However today's home entertainment appliances are usually based on a closed hardware and software design and do not provide the extensibility and flexibility needed. In this paper, we present a middleware that allows to control and connect distributed and mobile multimedia devices with different underlying technology. Based on this middleware we demonstrate an extensible application framework for a multimedia home entertainment center. This framework provides session hand off for seamless multimedia playback in heterogeneous environments where users with mobile devices can transparently exploit the capabilities of nearby stationary systems.
Shadow maps are a very efficient means to add shadows to arbitrary scenes. In this paper, we introduce Translucent Shadow Maps, an extension to shadow maps which allows very efficient rendering of sub-surface scatteri...
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