Vision and hearing are inherently different perceptual systems. The vision system is tuned to extract spatial information of surfaces and edges, while the auditory system is better suited to detect the temporal behavi...
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Vision and hearing are inherently different perceptual systems. The vision system is tuned to extract spatial information of surfaces and edges, while the auditory system is better suited to detect the temporal behavior of sources. However there are spatial audio effects that can be used to overcome some limitations of visual displays, especially when time-varying complex scenarios have to be rendered, and when the visual display devices are limited in size and complexity. We review some spatial sound effects and give hints for applications in information visualization.
For the first time since computers were available, the major pieces of the puzzle are in place to deliver interactive 3d to the average end user. Yet, with the exception of games and some E-commerce applications, the ...
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For the first time since computers were available, the major pieces of the puzzle are in place to deliver interactive 3d to the average end user. Yet, with the exception of games and some E-commerce applications, the take-up of 3d remains slow. This paper surveys current issues related to the potential of 3d for IST applications and gives an overview of activities most relevant to 3d research. The EU's 6/sup th/ Framework Programme is also briefly discussed and orientations for the integration of imaging and3d research are proposed.
In this paper, we propose an efficient low complexity geometry compression scheme for densely sampled irregular 3d meshes. This scheme is based on 3d multiresolution analysis (3ddiscrete wavelet transform) and includ...
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In this paper, we propose an efficient low complexity geometry compression scheme for densely sampled irregular 3d meshes. This scheme is based on 3d multiresolution analysis (3ddiscrete wavelet transform) and includes a model-based bit allocation process across the wavelet subbands. Coordinates of 3d wavelet coefficients are processed separately and statistically modeled by a generalized Gaussian distribution. This permits an efficient allocation even at low bitrate with very low complexity. Moreover, we introduce predictive geometry coding of LF subbands by taking into account the correlation of the coarsest level coefficients. Finally, we use the EBCOT coder to efficiently encode the quantized coefficients.
We propose a fast 3d model acquisition system that aligns intensity anddepth images, and reconstructs a textured3d mesh. 3d views are registered with shape alignment based on intensity gradient constraints and a glo...
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We propose a fast 3d model acquisition system that aligns intensity anddepth images, and reconstructs a textured3d mesh. 3d views are registered with shape alignment based on intensity gradient constraints and a global registration algorithm. We reconstruct the 3d model using a new cubic ray projection merging algorithm which takes advantage of a novel data structure: the linked voxel space. Finally, we present experiments to test the accuracy of our approach on 3d face modeling using real-time stereo images.
This paper addresses the problem of segmenting 3d scan data of human body (HB) into sets corresponding to the HB parts, where the posture of the body is unknown. The approach consists of recognizing first the posture,...
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This paper addresses the problem of segmenting 3d scan data of human body (HB) into sets corresponding to the HB parts, where the posture of the body is unknown. The approach consists of recognizing first the posture, then exploiting the information retrieved from the posture recognition into the segmentation process. For the recognition, the wavelet transform coefficients are suggested as new 3d shape descriptors. Then segmentation technique integrating the model posture information is presented. The segmentation results are illustrated on human body scans of different postures.
Volume rendering is a well-developed technology for visualization. It had been used for medical datavisualization in both research and clinic. The massive growths of the Internet and the World Wide Web lead us to a c...
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Volume rendering is a well-developed technology for visualization. It had been used for medical datavisualization in both research and clinic. The massive growths of the Internet and the World Wide Web lead us to a completely new way of looking at the development anddistribution of visualization software. Using Java as programming language, we developed the 3d applet that rendered medical images on Internet. The client upload their 2d images, visit WWW server to get the 3d results of renderings. It changes traditional computing mode and realizes the share of information. It provides the tool for telemedicine visualization. different organ images are shown in this paper. The results are clear enough to be involved for clinical diagnosis and proved this method to be practical.
In this paper we present a simple technique to approximate the volume enclosed by a given triangle mesh with a set of overlapping ellipsoids. This type of geometry representation allows us to approximately reconstruct...
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In this paper we present a simple technique to approximate the volume enclosed by a given triangle mesh with a set of overlapping ellipsoids. This type of geometry representation allows us to approximately reconstruct 3d-shapes from a very small amount of information being transmitted. The two central questions that we address are: how can we compute optimal fitting ellipsoids that lie in the interior of a given triangle mesh and how do we select the most significant (least redundant) subset from a huge number of candidate ellipsoids. Our major motivation for computing ellipsoiddecompositions is the robust transmission of geometric objects where the receiver can reconstruct the 3d-shape even if part of the data gets lost during transmission.
It is possible to decompose a three-dimensional objects into a collection of shadows. The geometric relation permits one to decompose shadows of a three-dimensional object to shadows of planar objects. Using this geom...
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It is possible to decompose a three-dimensional objects into a collection of shadows. The geometric relation permits one to decompose shadows of a three-dimensional object to shadows of planar objects. Using this geometric relations, we prove that a class of non-convex objects is reconstructible from a series of shadows.
We describe a geometric approach for reconstructing 3d textured graphical models of surface of revolution (SOR) objects from a single uncalibrated view Our approach is based on the fact that, for the object class of i...
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We describe a geometric approach for reconstructing 3d textured graphical models of surface of revolution (SOR) objects from a single uncalibrated view Our approach is based on the fact that, for the object class of interest, the structure of the scene provides enough constraints for camera calibration even from a single view. Reconstruction (up to a scaling factor) of 3d shape is complemented with the extraction of flattened 2d texture, so as to support visual retrieval from 2d/3d cues anti to generate realistic 3dvisualization models. The approach developed is quite simple, yet accurate and robust; its applications range from the preservation, analysis and classification of cultural heritage, to advanced graphics and multimedia.
We seek to extract the three-dimensional motion of articulated objects by passive sensing. We first develop a multi-view system that segments objects from the background before their subsequent analysis by a motion mo...
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We seek to extract the three-dimensional motion of articulated objects by passive sensing. We first develop a multi-view system that segments objects from the background before their subsequent analysis by a motion model. To reduce the effects of noise, we also perform 3d reconstruction prior to motion analysis to improve the extraction of the (static) background. The 3d extraction and motion analysis are both performed by evidence gathering, thus accruing optimality of performance. These new analyses are supported by a new representation which describes 3ddata with optimal fidelity.
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