Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
Normal estimation in point clouds is a crucial first step for numerous algorithms, from surface reconstruction and scene understanding to
Read moreRobotics & Computer Vision Engineer, PhD
Normal estimation in point clouds is a crucial first step for numerous algorithms, from surface reconstruction and scene understanding to
Read moreProgressive multiview stero is an implementation of an algorihm taking a sparse 3D model (result of structure from motion software)
Read moreFrom the webpage of the project “This paper presents a novel probabilistic foundation for volumetric 3-d reconstruction. We formulate the problem as
Read moreA new open-source library has been released by the Robotics and Perception Group of Davide Scaramuzza. Technical details of the
Read moreOpenCV originated at Intel, and is now back at Intel. People wonder about the possibility that OpenCV can stop beeing
Read moreIn this work from Georgia Tech, researchers have developed a control algorithm that allows small-scale autonomous cars to drive autonomously around
Read moreAn interesting work on edge-based visual odometry: the REBVO method was presented at ICCV’15 Tarrio, J. J., & Pedre, S.
Read moreThis page contains a collection of 15 deep-learning libraries. Here you can find another collection, sorted by language.
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