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Proceedings Paper

Depth map compression for unstructured lumigraph rendering
Author(s): Ulrich Fecker; Audrey Guenegues; Ingo Scholz; André Kaup
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Paper Abstract

Image-based rendering techniques require capturing an object or scene from many viewpoints. Often, depth maps are used in addition to the original images for rendering new iews for novel viewpoints not coinciding with one of the original camera positions. Due to the high amount of data, efficient compression is necessary. When the data is stored or transmitted, it is not only desirable to compress the image data but also the depth information. In this paper, the case of sequences recorded with a single, hand-held camera is investigated. These sequences are used for unstructured lumigraph rendering. In addition, the case of multi-view video sequences is analyzed. For both cases, depth maps are compressed using H.264/AVC, and the achievable data rates are studied. For the case of unstructured lumigraph rendering, the effect of depth map compression on the quality of rendered images is analyzed in a second step.

Paper Details

Date Published: 19 January 2006
PDF: 8 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770B (19 January 2006); doi: 10.1117/12.642803
Show Author Affiliations
Ulrich Fecker, Univ. of Erlangen-Nuremberg (Germany)
Audrey Guenegues, Univ. of Erlangen-Nuremberg (Germany)
Ingo Scholz, Univ. of Erlangen-Nuremberg (Germany)
André Kaup, Univ. of Erlangen-Nuremberg (Germany)


Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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