Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images

@article{Pan2021EllipseDA,
  title={Ellipse Detection and Localization with Applications to Knots in Sawn Lumber Images},
  author={Shenyi Pan and Shuxiang Fan and Samuel W. K. Wong and James V. Zidek and Helge Rhodin},
  journal={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2021},
  pages={3891-3900}
}
While general object detection has seen tremendous progress, localization of elliptical objects has received little attention in the literature. Our motivating application is the detection of knots in sawn lumber images, which is an important problem since the number and types of knots are visual characteristics that adversely affect the quality of sawn lumber. We demonstrate how models can be tailored to the elliptical shape and thereby improve on general purpose detectors; more generally… 
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6 Citations
Background Citations
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Methods Citations
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6 Citations

ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums
We train an object detector built from convolutional neural networks to count interference fringes in elliptical antinode regions in frames of high-speed video recordings of transient oscillations in…
Object-Based Visual Camera Pose Estimation From Ellipsoidal Model and 3D-Aware Ellipse Prediction
TLDR
A learningbased method which detects improved elliptic approximations of objects which are coherent with the 3D ellipsoids in terms of perspective projection and the accuracy of the computed pose significantly increases thanks to this method.
Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences
TLDR
An object-based camera pose estimation from a single RGB image and a pre-built map of objects, represented with ellipsoidal models, and develops an ellipse-ellipse cost based on level sets sampling.
EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography
TLDR
An anchor-free ellipse detection network, namely EllipseNet, is presented, which detects the cardiac and thoracic regions inEllipse and automatically calculates the CTR and cardiac axis for fetal cardiac biometrics in 4-chamber view and outperforms several state-ofthe-art methods.
Characterizing uncertainty through Bayesian hierarchical models in structural engineering : new approaches for characterizing the tensile strength of lumber based on a spatial distribution of knots
TLDR
This thesis’s objective is to investigate and quantify the strength-reducing effects of the spatial distribution of knots on Douglas Fir (DF) lumber, via high-resolution scans of its surfaces, and to discuss how the new approach could contribute to the improvement of lumber grading practices.
Knots and their effect on the tensile strength of lumber
When assessing the strength of sawn lumber for use in engineering applications, the sizes and locations of knots are an important consideration. Knots are the most common visual characteristics of…

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