Self-similarity modeling for interpolation and extrapolation of multi-viewpoint image sets

Author

Naemura, Takeshi ; Harashima, Hiroshi

Author_Institution

Dept. of Electr. Eng., Tokyo Univ., Japan

Volume

v

fYear

1994

fDate

19-22 Apr 1994

Abstract

For the 3-D image communication, a flexible interpolation technique of a multi-viewpoint image set (MVIS) is required. If we could recover the 3-D structure from an MVIS, interpolative images would be obtained. This approach, however, can not be easily applied to arbitrary objects because of the difficulty in stereo-matching. In this paper, the self-similarity modeling which has been studied in the field of data compression is chosen as a modeling scheme which is scalable to any resolution, and the interpolation is virtually achieved by enhancing the resolution of the viewpoint-axis of an MVIS. This new approach is free from stereo-matching and is shown to achieve interpolative images with an SNR of about 35 dB

Keywords

data compression; extrapolation; image coding; interpolation; 35 dB; 3D image communication; SNR; arbitrary objects; data compression; extrapolation; interpolation; multi-viewpoint image sets; resolution; self-similarity modeling; Cameras; Data compression; Displays; Extrapolation; Focusing; Fractals; Holography; Interpolation; Robustness; Scalability;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389411

Filename

389411