Análise de métricas para determinar a similaridade entre objetos não rígidos restritos em tempo real

Abstract

Within the area of Mechatronics, mainly in CAD (Computer Aided Desing) and Robotic Vision, many applications are developed that require the analysis of non-rigid or deformable objects through computational representations of them. This master thesis proposes an approach to measure similarity of deformable objects using three-dimensional points clouds of them. Basically, three point clouds of the analyzed object are considered: one without changes, another representing the degree of maximum deformation and a third that describes the deformation of interest, at the time of application execution. Here are presented two alternatives to measure similarity based on Distance measures, with the respective accuracy and time checks. The first method is based on the Mahalanobis distance computation and, in the second, the Hausdorff distance is used after a registration and alignment steps of the data. The experiments are developed considering some parts of the human body, its evidents that the analysis with Mahalanobis distance has the shortest execution time, being feasible in real time. Several applications in the above mentioned areas can be based on the results obtained in this dissertation to determine the deformation levels of restricted deformable objects.