首页|Data from University of Padua Provide New Insights into Robotics and Automation (Kvn: Keypoints Voting Network With Differentiable Ransac for Stereo Pose Estima tion)
Data from University of Padua Provide New Insights into Robotics and Automation (Kvn: Keypoints Voting Network With Differentiable Ransac for Stereo Pose Estima tion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics - Robotics an d Automation is the subject of a report. According to news reporting out of Padu a, Italy, by NewsRx editors, research stated, “Object pose estimation is a funda mental computer vision task exploited in several robotics and augmented reality applications. Many established approaches rely on predicting 2D-3D keypoint corr espondences using RANSAC (Random sample consensus) and estimating the object pos e using the PnP (Perspective-n- Point) algorithm.” Financial support for this research came from University of Padova.
PaduaItalyEuropeRobotics and Autom ationRoboticsUniversity of Padua
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