منابع مشابه
Continuous Generalized Procrustes analysis
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...
متن کاملComparing Generalized Procrustes Analysis and STATIS
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...
متن کاملWeighted Procrustes Analysis for Diffusion Tensor Imaging
There has been substantial interest in the development of methods for processing diffusion tensor fields, taking into account the non-Euclidean nature of the tensor space. In this paper, we generalise Procrustes analysis to weighted Procrustes analysis for diffusion tensor smoothing, interpolation, regularisation and segmentation in which an arbitrary number of tensors can be processed efficien...
متن کاملPlanar Procrustes analysis of tooth shape.
Accurate quantification of variation in tooth shape is important in studies of dental development, which typically have involved measuring distances between subjectively identified landmarks, key points of correspondence on teeth. An established statistical framework now exists for the analysis of shape when objects are represented as configurations of landmark coordinates; allowing work with t...
متن کاملProcrustes Analysis of Diffusion Tensor Data
Introduction: Diffusion tensor imaging (DTI) is becoming increasingly important in clinical studies of diseases such as multiple sclerosis and schizophrenia, and also in investigating brain connectivity. Hence, there is a growing need to process diffusion tensor (DT) images within a statistical framework based on appropriate mathematical metrics. However, the usual Euclidean operations are ofte...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2016
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-016-0938-x