90 citations · 242 across the 5 of their papers we have counts for
5 papers
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation
Wenbo Dong, Volkan Isler
Convolutional neural network (CNN) based architectures, such as Mask R-CNN, constitute the state of the art in object detection and segmentation. Recently, these methods have been…
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion
Wenbo Dong, Pravakar Roy, Cheng Peng +1
Images of heavily occluded objects in cluttered scenes, such as fruit clusters in trees, are hard to segment. To further retrieve the 3D size and 6D pose of each individual object…
Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows
Wenbo Dong, Pravakar Roy, Volkan Isler
Measuring semantic traits for phenotyping is an essential but labor-intensive activity in horticulture. Researchers often rely on manual measurements which may not be accurate for…
Tree Morphology for Phenotyping from Semantics-Based Mapping in Orchard Environments
Wenbo Dong, Volkan Isler
Measuring tree morphology for phenotyping is an essential but labor-intensive activity in horticulture. Researchers often rely on manual measurements which may not be accurate for…
A Novel Method for the Extrinsic Calibration of a 2D Laser Rangefinder and a Camera
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. We show that point-to-plane const…