Stratified Generalized Procrustes Analysis
نویسندگان
چکیده
منابع مشابه
BARTOLI, PIZARRO, LOOG: STRATIFIED GENERALIZED PROCRUSTES ANALYSIS 1 Stratified Generalized Procrustes Analysis1
This paper deals with generalized procrustes analysis. This is the problem of registering a set of shape data by finding a reference shape and global rigid transformations given point correspondences. The transformed shape data must align with the reference shape as best possible. This is a difficult problem. The classical approach computes alternatively the reference shape, usually as the aver...
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Two-dimensional shape models have been successfully applied to solve many problems in computer vision, such as object tracking, recognition, and segmentation. Typically, 2D shape models are learned from a discrete set of image landmarks (corresponding to projection of 3D points of an object), after applying Generalized Procustes Analysis (GPA) to remove 2D rigid transformations. However, the st...
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We consider a model for sensory profiling data including translation, rotation and scaling. We compare two methods to calculate an overall consensus from several data matrices: GPA and STATIS. These methods are briefly illustrated and explained under our model. A series of simulations to compare their performance has been carried out. We found significant differences in performance depending on...
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The paper presents a new analytical tool to solve the classical photogrammetric bundle block adjustment. The analytical model is based on the generalized extension of the anisotropic row-scaling Procrustes analysis, that has been recently proposed by the same authors to solve the image exterior orientation problem. The main advantage of the method is given by the fact that the problem solution ...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2012
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-012-0565-0