Search Results for author: Wenbo Dong

Found 5 papers, 0 papers with code

Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation

no code implementations27 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.

Object object-detection +2

Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion

no code implementations30 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.

Clustering object-detection +3

Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows

no code implementations31 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

Tree Morphology for Phenotyping from Semantics-Based Mapping in Orchard Environments

no code implementations16 Apr 2018 Wenbo Dong, Volkan Isler

Researchers often rely on manual measurements which may not be accurate for example when measuring tree volume.

A Novel Method for the Extrinsic Calibration of a 2D Laser Rangefinder and a Camera

no code implementations14 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.

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