Pedro J. de Rezende

Universidade Estadual de Campinas (UNICAMP)

Papers

Total Citations

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About

Pedro J. de Rezende is a computational geometer whose work bridges theoretical foundations and real-world applications, particularly in robotics, image processing, and 3D modeling. His research centers on geometric algorithms for shortest paths, point cloud analysis, and interactive segmentation—problems that directly impact fields like medical imaging, terrain navigation, and shape classification. In his highly cited work "Point guards and point clouds" (22 citations), de Rezende demonstrates how classical computational geometry gains practical relevance through the robot platform IRMA3D, which produces high-resolution virtual 3D environments. His 2013 paper on interactive segmentation via the Image Foresting Transform on superpixel graphs (19 citations) introduced a novel method for user-guided image segmentation, enabling more precise and efficient extraction of objects from complex scenes. More recently, his 2015 work on faster approximations of shortest geodesic paths on polyhedra (4 citations) advanced the efficiency of pathfinding on triangular meshes, with applications in mesh watermarking and shape analysis. De Rezende’s contributions exemplify how geometric theory can be transformed into practical tools, making him a key figure in applied computational geometry.