Model based perspective inversion

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摘要

The problem of finding the spatial correspondence between an object and the image of the object under perspective projection is investigated and a new technique is demonstrated. This technique is based on a geometrical description, or model, of the object and a least squares solution of the resulting nonlinear equations. An analysis of performance and a comparison with Lowe's previous work is given. Three further areas of applications in model based vision are discussed.

论文关键词:object recognition,perspective inversion,least squares solution

论文评审过程:Available online 10 June 2003.

论文官网地址:https://doi.org/10.1016/0262-8856(89)90015-2