The following topics were dealt with: urban modeling; 3d navigation; geometric modelling; visual hulls; 3d coding andtransmission; 3d retrieval; multiple view reconstruction; and large scale models and view planning.
The following topics were dealt with: urban modeling; 3d navigation; geometric modelling; visual hulls; 3d coding andtransmission; 3d retrieval; multiple view reconstruction; and large scale models and view planning.
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carr...
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.
in this article, we put forth the contribution of cartographic map projection in image analysis for 2d and3d spheric-shapeddata. In the 2d case, map projection of the underlying hemispherical surface has the merit t...
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ISBN:
(纸本)9780780395763
in this article, we put forth the contribution of cartographic map projection in image analysis for 2d and3d spheric-shapeddata. In the 2d case, map projection of the underlying hemispherical surface has the merit to overcome deformations generated by perspective sights. In the 3d case, processing cartographic references of the original spheroid surfaces presents mainly two advantages. On one hand, it decreases significantly the amount of processeddata. On the other hand, we avoid extension of exhaustive processes to a higher dimension. We make use of this geographical transformation in several classical image processing applications such as temporal tracking, information visualization, and feature extraction, such as segmentation. These applications are described and results of cell wall simulations are displayed.
This paper addresses the problem of face recognition in the presence of facial deformations caused by expressions. An isometric mapping between surfaces is assumed, which allows preservation of geodesic distance betwe...
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The 3d reconstruction from 2d broadcast video is a challenging problem with many potential applications, such as 3dTV, free-viewpoint video or augmented reality. In this paper, a modular system capable of efficiently ...
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We propose artificial potential fields as a support theory for a feature linking algorithm. This algorithm operates on 3d triangle meshes derived from multiple range scans of an object, and the features of interest ar...
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We present an algorithm for automatic locating of anthropometric landmarks on 3d human scans. Our method is based on learning landmark characteristics and the spatial relationships between them from a set of human sca...
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The number of 3d models that are available from the Web is increasingly growing, motivating the research on content-based retrieval from shape information. In this paper we propose to extend the approach to colored3d...
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In this paper, we develop a new hybrid active vision/geometric modeling approach dedicated to 3d human face recovery. Initially, a 3d coarse reconstruction is obtained via a structured-light assisted stereo sensor. He...
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Real-time display of dynamic three-dimensional (3d) cardiac images has important applications in minimally invasive image-guided cardiac surgery and therapy. However, in practice, the high computational cost usually p...
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ISBN:
(纸本)9780780395763
Real-time display of dynamic three-dimensional (3d) cardiac images has important applications in minimally invasive image-guided cardiac surgery and therapy. However, in practice, the high computational cost usually prohibits its application in a real-time medical environment, or else the low image quality does not satisfy the clinical requirements. Surface based organ models or orthogonal image planes are often employed instead, but in the process important intra cardiac data are lost, and intuitive spatial anatomical relationships are eliminated. In this paper, we take advantage of the programmability, parallelism and increased computational precision of modem graphics processing units (GPUs) to build a ray casting based real-time 3d rendering engine, directly running on the graphics vertex and fragment processors. This approach provides enhanced image quality similar to software-based implementations, but its rendering speed is competitive with the traditional but inferior quality slice based volume rendering approaches. In addition, we propose a new dynamic volume texture binding technique, and embedded it into our 3d rendering engine to permit visualize the 4d MR cardiac dataset in real-time.
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