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|Title:||Error analysis of SFM under weak-perspective projection|
|Authors:||Cheong, L.-F. |
|Source:||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)|
|Appears in Collections:||Staff Publications|
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