Abstract: Random sample consensus (RANSAC) is a robust model-fitting algorithm. It is widely used in many fields including image-stitching and point cloud registration. In RANSAC, data is uniformly ...

Robust estimation techniques in geometric model fitting address the pervasive challenge of deriving accurate model parameters from data contaminated by outliers or noise. Central to this field are ...

According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...

Fault surface construction plays an important role in seismic structural interpretation and building structural models. Significant research studies have been carried out regarding fault surface ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

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If you’ve been to Random Sample to see an art exhibition, or watch a live band, or even participate in a book club, you know just where to find its original home. It’s a white cinderblock building ...

National Institute of Standards and Technology (NIST) scientists have created the first random number generator that uses quantum entanglement, providing traceable and certifiable confirmation that ...

In underground engineering, precise analysis of structural discontinuities is critical for understanding the rock fracture mechanisms subjected to shear and tensile loading. This study presents an ...