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Joint geometry/texture progressive coding of 3D models

Authors: M. Okuda; null Tsuhan Chen;

Joint geometry/texture progressive coding of 3D models

Abstract

Files of 3D models are often large and hence time-consuming to retrieve from a storage device or to download from the network. Most 3D viewing applications need to obtain the entire file of a 3D model in order to display it, even when the user is interested only in a small part, or a low-resolution version, of the model. Therefore, progressive coding that enables multiresolution transmission of 3D models is desired. However, existing research in progressive coding of 3D models either focuses on progressive coding of the geometry only, or progressive coding of the texture only. In this paper, we propose a joint geometry/texture coding scheme for 3D models. With this technique, geometry and texture are coded jointly and transmitted progressively to the users. Bits that represent perceptually more important information, in terms of both geometry and texture, are transmitted before the less important bits, allowing the user to obtain the best available visual quality at any time during the transmission.

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    popularity
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    Average
    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Average
Top 10%
Top 10%
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