Data Compression and Interpolation of Multi-View Image Set
Summary :
This paper is concerned with the data compression and interpolation of multi-view image set. In this paper, we propose a novel disparity compensation scheme based on geometric relationship. We first investigate the geometric relationship between a point in the object space and its projection onto view images. Then, we propose the disparity compensation scheme which utilize the geometric constraints between view images. This scheme is used to compress the multi-view image into the structure of the triangular patches and the texture data on the surface of patches. This scheme not only compresses the multi-view image but also synthesize the view images from any viewpoints in the viewing zone. Also, this scheme is fast and have compatibility with 2-D interframe coding. Finally, we report the experiment, where two sets multi-view image were used as original images and the amount of data was reduced to 1/19 and 1/20 with SNR 34 dB and 20 dB, respectively.
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- IEICE TRANSACTIONS on Information Vol.E77-D No.9 pp.987-995
- Publication Date
- 1994/09/25
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- Type of Manuscript
- Special Section PAPER (Special Issue on 3D Image Processing)
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Toshiaki FUJII, Hiroshi HARASHIMA, "Data Compression and Interpolation of Multi-View Image Set" in IEICE TRANSACTIONS on Information,
vol. E77-D, no. 9, pp. 987-995, September 1994, doi: .
Abstract: This paper is concerned with the data compression and interpolation of multi-view image set. In this paper, we propose a novel disparity compensation scheme based on geometric relationship. We first investigate the geometric relationship between a point in the object space and its projection onto view images. Then, we propose the disparity compensation scheme which utilize the geometric constraints between view images. This scheme is used to compress the multi-view image into the structure of the triangular patches and the texture data on the surface of patches. This scheme not only compresses the multi-view image but also synthesize the view images from any viewpoints in the viewing zone. Also, this scheme is fast and have compatibility with 2-D interframe coding. Finally, we report the experiment, where two sets multi-view image were used as original images and the amount of data was reduced to 1/19 and 1/20 with SNR 34 dB and 20 dB, respectively.
URL: https://global.ieice.org/en_transactions/information/10.1587/e77-d_9_987/_p
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@ARTICLE{e77-d_9_987,
author={Toshiaki FUJII, Hiroshi HARASHIMA, },
journal={IEICE TRANSACTIONS on Information},
title={Data Compression and Interpolation of Multi-View Image Set},
year={1994},
volume={E77-D},
number={9},
pages={987-995},
abstract={This paper is concerned with the data compression and interpolation of multi-view image set. In this paper, we propose a novel disparity compensation scheme based on geometric relationship. We first investigate the geometric relationship between a point in the object space and its projection onto view images. Then, we propose the disparity compensation scheme which utilize the geometric constraints between view images. This scheme is used to compress the multi-view image into the structure of the triangular patches and the texture data on the surface of patches. This scheme not only compresses the multi-view image but also synthesize the view images from any viewpoints in the viewing zone. Also, this scheme is fast and have compatibility with 2-D interframe coding. Finally, we report the experiment, where two sets multi-view image were used as original images and the amount of data was reduced to 1/19 and 1/20 with SNR 34 dB and 20 dB, respectively.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Data Compression and Interpolation of Multi-View Image Set
T2 - IEICE TRANSACTIONS on Information
SP - 987
EP - 995
AU - Toshiaki FUJII
AU - Hiroshi HARASHIMA
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E77-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 1994
AB - This paper is concerned with the data compression and interpolation of multi-view image set. In this paper, we propose a novel disparity compensation scheme based on geometric relationship. We first investigate the geometric relationship between a point in the object space and its projection onto view images. Then, we propose the disparity compensation scheme which utilize the geometric constraints between view images. This scheme is used to compress the multi-view image into the structure of the triangular patches and the texture data on the surface of patches. This scheme not only compresses the multi-view image but also synthesize the view images from any viewpoints in the viewing zone. Also, this scheme is fast and have compatibility with 2-D interframe coding. Finally, we report the experiment, where two sets multi-view image were used as original images and the amount of data was reduced to 1/19 and 1/20 with SNR 34 dB and 20 dB, respectively.
ER -
English
