Search Results for author:
Found 12 papers, 7 papers with code
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
We employ a data augmentation and refinement approach to improve the accuracy of the model predictions.
ArXiving Before Submission Helps Everyone
We claim, and present evidence, that allowing arXiv publication before a conference or journal submission benefits researchers, especially early career, as well as the whole scientific community.
Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods
Robot-world, hand-eye calibration is the problem of determining the transformation between the robot end-effector and a camera, as well as the transformation between the robot base and the world coordinate system.
Using cameras for precise measurement of two-dimensional plant features: CASS
The use of this protocol for two-dimensional plant phenotyping will allow data capture from different cameras and environments, with comparison on the same physical scale.
Multi-camera calibration with pattern rigs, including for non-overlapping cameras: CALICO
Infrastructure-based approaches are not suitable for stationary camera systems, and pattern-based approaches may constrain camera placement because shared fields of view or extremely large patterns are required.
FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces
Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results.
Apple Flower Detection using Deep Convolutional Networks
To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be removed early in the growing season.
Segmenting root systems in X-ray computed tomography images using level sets
In this paper, we describe a method based on level sets and specifically adapted for this segmentation problem.
A robotic vision system to measure tree traits
The autonomous measurement of tree traits, such as branching structure, branch diameters, branch lengths, and branch angles, is required for tasks such as robotic pruning of trees as well as structural phenotyping.
Robotics
Automatic segmentation of trees in dynamic outdoor environments
Segmentation in dynamic outdoor environments can be difficult when the illumination levels and other aspects of the scene cannot be controlled.
Fast and robust curve skeletonization for real-world elongated objects
We consider the problem of extracting curve skeletons of three-dimensional, elongated objects given a noisy surface, which has applications in agricultural contexts such as extracting the branching structure of plants.
Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error
This paper considers the problem of reconstructing the shape of thin, texture-less objects such as leafless trees when there is noise or deterministic error in the silhouette extraction step or there are small errors in camera calibration.
