no code implementations • 27 Dec 2020 • Wenbo Dong, Volkan Isler
We present a novel ellipse regression loss which can learn the offset parameters with their uncertainties and quantify the overall geometric quality of detection for each ellipse.
no code implementations • 30 Jan 2020 • Wenbo Dong, Pravakar Roy, Cheng Peng, Volkan Isler
We first propose a robust and compact ellipse regression based on the Mask R-CNN architecture for elliptical object detection.
no code implementations • 31 Aug 2018 • Wenbo Dong, Pravakar Roy, Volkan Isler
Our first main contribution in this paper is a novel method that utilizes global features and semantic information to obtain an initial solution aligning the two sides.
Robotics
no code implementations • 16 Apr 2018 • Wenbo Dong, Volkan Isler
Researchers often rely on manual measurements which may not be accurate for example when measuring tree volume.
no code implementations • 14 Mar 2016 • Wenbo Dong, Volkan Isler
We present a novel method for extrinsically calibrating a camera and a 2D Laser Rangefinder (LRF) whose beams are invisible from the camera image.