In random sample consensus (RANSAC), the problem of ellipsoid fitting can be formulated
as a problem of minimization of point-to-model distance, which is realized by maximizing …

Fitting ellipses from unrecognized data is a fundamental problem in computer vision and
pattern recognition. Classic least-squares based methods are sensitive to outliers. To …

When faced with an ellipse fitting problem, practitioners frequently resort to algebraic ellipse
fitting methods due to their simplicity and efficiency. Currently, practitioners must choose …

Vibration measurement and analysis can provide data support for structural health
monitoring, which is of great significance in building structure inspection. Conventional …

Fast and efficient fitting of accurate ellipses from data points has many applications in
pattern recognition, machine vision, and robotics. However, the fitting accuracy may …

Background Trans‐catheter endovascular stent grafting minimizes trauma and increases the
benefitting patient population. However, the alignment between stent graft branches and …

Ellipse fitting is a highly researched and mature topic. Surprisingly, however, no existing
method has thus far considered the data point eccentricity in its ellipse fitting procedure …

Detecting multi-plane from 3D point clouds can provide concise and meaningful abstractions
of 3D data and give users higher-level interaction possibilities. However, existing algorithms …

A method for the detection of bubble contours in images of subcooled boiling in microgravity
is proposed. The method refines an initial, rough contour approximation obtained from …

Autonomous driving safety is becoming a paramount issue due to the emergence of many
autonomous vehicle prototypes. The safety measures ensure that autonomous vehicles are …