NDLI: Reconstruction from image sequences by means of relative depths

Content Provider	IEEE Xplore Digital Library
Author	Heyden, A.
Copyright Year	1995
Description	Author affiliation: Dept. of Math., Lund Univ., Sweden (Heyden, A.)
Abstract	The paper deals with the problem of reconstructing the locations of n points in space from m different images without camera calibration. It shows how these problems can be put into a similar theoretical framework. A new concept, the reduced fundamental matrix, is introduced. It contains just 4 parameters and can be used to predict locations of points in the images and to make reconstruction. We also introduce the concept of reduced fundamental tensor which describes the relations between points in 3 images. It has 15 components and depends on 9 parameters. Necessary and sufficient conditions for a tensor to be a reduced fundamental tensor are derived. This framework can be generalised to a sequence of images. The dependencies between the different representations are investigated. Furthermore a canonical form of the camera matrices in a sequence are presented.<>
Starting Page	1058
Ending Page	1063
File Size	641220
Page Count	6
File Format	PDF
ISBN	0818670428
DOI	10.1109/ICCV.1995.466817
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-06-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Image sequences Cameras Tensile stress Transmission line matrix methods Shape Calibration Sufficient conditions Image analysis Layout
Content Type	Text
Resource Type	Article

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