Representing against population with a subset of it is termed as sampling. Sampling can either be statistical or non-statistical. In statistical sampling (probability sampling technique) calculating the probability of getting any particular sample is possible. It is scientific and every element stands an equal chance of being selected. In statistical sampling, workforce, time and money highly l...

Rejection sampling is a technique for sampling from difficult distributions. However, its use is limited due to a high rejection rate. Common adaptive rejection sampling methods either work only for very specific distributions or without performance guarantees. In this paper, we present pliable rejection sampling (PRS), a new approach to rejection sampling, where we learn the sampling proposal ...

This paper presents a Bayesian framework for Visual Hull reconstruction from multiple camera views with a 3D sampling scheme based on an irregular 3D grid, which becomes regular once projected onto the available views. The probabilistic framework consists in establishing a foreground probability for each pixel in each view rather than segmenting in order to obtain binary silhouettes of the fore...