Please use this identifier to cite or link to this item: https://doi.org/10.1007/11612704_86
Title: Error analysis of SFM under weak-perspective projection
Authors: Cheong, L.-F. 
Li, S. 
Issue Date: 2006
Citation: Cheong, L.-F.,Li, S. (2006). Error analysis of SFM under weak-perspective projection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3852 LNCS : 862-871. ScholarBank@NUS Repository. https://doi.org/10.1007/11612704_86
Abstract: Despite the long history of studies on weak-perspective projection and the intuitive notion that this model has better numerical stability compared to the perspective model under appropriate conditions, there lacks a deep understanding about the error characteristics of motion and depth recovery process under this model. In this paper, we present the differential approach to SFM under weak-perspective projection. Based on this approach, error behavior which governs the formation of motion ambiguities under weak-perspective is investigated. Recovery of depth information and its distortion are also discussed. Regions where ordinal depth can be extracted is shown to be following a simple relationship under all types of motion, a different result compared to the case of perspective projection. © Springer-Verlag Berlin Heidelberg 2006.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/70198
ISSN: 03029743
DOI: 10.1007/11612704_86
Appears in Collections:Staff Publications

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