On-Line Visualization of Underground Structures using Context Features

Jiazhou Chen 1, 2, 3 Xavier Granier 1, 2, 3, * Naiyang Lin 3 Qunsheng Peng 3
* Corresponding author
1 IPARLA - Visualization and manipulation of complex data on wireless mobile devices
Université Sciences et Technologies - Bordeaux 1, Inria Bordeaux - Sud-Ouest, École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : We introduce an on-line framework for the visualizing of underground structures that improves X-Ray vision and Focus and Context Rendering for Augmented Reality. Our approach does not require an accurate reconstruction of the 3D environment and runs on-line on modern hardwares. For these purposes, we extract characteristic features from video frames and create visual cues to reveal occlusion relationships. To enhance the perception of occluding order, the extracted features are either directly rendered, or used to create hybrid blending masks: we thus ensures that the resulting cues are clearly noticeable.
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Jiazhou Chen, Xavier Granier, Naiyang Lin, Qunsheng Peng. On-Line Visualization of Underground Structures using Context Features. ACM Symposium on Virtual Reality Software and Technology (VRST), ACM, Nov 2010, Hong Kong, China. pp.167-170, ⟨10.1145/1889863.1889898⟩. ⟨inria-00524818v2⟩

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