NDLI: Compression comparisons for multiview stereo

Content Provider	IEEE Xplore Digital Library
Author	Jones, D.K. Maier, M.W.
Copyright Year	1997
Description	Author affiliation: Dept. of Opt. Sci. & Eng., Alabama Univ., Huntsville, AL, USA (Jones, D.K.)
Abstract	Summary form only given. Multiview stereo imaging uses arrays of cameras to capture scenes from multiple perspectives. This form of imagery is used in systems that allow the user to survey the scene, for example by head motion. Very little work has been reported on compression schemes for multiview images. Multiview image sets tend to be very large because they may contain several hundred views, but there is considerable redundancy among the views which makes them highly compressible. This paper compares methods for compressing large multiview stereo image sets. There is an obvious similarity between multiview image sets and video sequences. As a baseline we compressed a set of multiview stereo images with JPEG on each image individually and MPEG-1 applied to the whole set. The average bits per pixel were reduced by roughly a factor of two over individual frame compression, at constant mean square error (MSE). Stereo specific perceptual distortions can be viewed in anaglyph representations of the data set. Another method, unique to this data type, is based on residual coding with respect to a synthetic "panoramic still" containing information from all of the images in the set. In this method we synthesize a single panoramic image from all of the members of a registered set, code the panoramic image, and then code the residual images formed by subtracting the individual images from the corresponding position on the panorama. Initial results with this method appear to give a similar MSE rate distortion curve as the MPEG based techniques. However, the panoramic still method is inherently random access.
File Size	68070
File Format	PDF
ISBN	0818677619
ISSN	10680314
DOI	10.1109/DCC.1997.582103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-03-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Layout Head Transform coding Optical distortion Optical imaging Cameras Redundancy Mean square error methods Rate-distortion
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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