Napsac: High Noise, High Dimensional Model Parameterisation - It’s in the Bag
نویسنده
چکیده
The most effective algorithms for model parameterisation in the presence of high noise, such as RANSAC, MINPRAN and Least Median Squares, use random sampling of data points to instantiate model hypotheses. However, their performance degrades in higher dimensionality due to the exponentially decreasing probability of sampling a set of inliers. It is suggested that biasing this random selection towards clusters in multi-dimensional space may be preferable. Based on this premise, the NAPSAC (N Adjacent Points Sample Consensus) algorithm is derived and its performance in high dimensionality is shown to be superior to RANSAC on a hyperplane fitting problem.
منابع مشابه
NAPSAC: High Noise, High Dimensional Robust Estimation - it's in the Bag
A number of the most powerful robust estimation algorithms, such as RANSAC,MINPRAN and LMS, have their basis in selecting random minimal sets of data to instantiate hypotheses. However, their performance degrades in higher dimensional spaces due to the exponentially decreasing probability of sampling a set that is composed entirely of inliers. In order to overcome this, rather than picking sets...
متن کاملRobust Estimation in High Noise and Highly Dimensional Data Sets with Applications to Machine Vision
Robust estimation, the problem of providing an effective parameter estimation in the presence of outlying data, is central to the discipline of machine vision. This report examines current robust estimation methods and demonstrates their inadequacy in high noise and high dimensionality due to reliance on naive hypothesis selection. Subsequently, clustering algorithms are discussed and how ideas...
متن کاملDeveloping 3 dimensional model for estimation of acoustic power in urban pathways in geo-spatial information system framework
Around the word, traffic growth is causing growing air and noise pollution. Noise levels in a given area are affected by traffic on the streets as well as effective factors, including existing infrastructure and industrial centers, and so on. The purpose of this research is to model and estimate the amount of acoustic emission in the streets of Tehran's third district, using the 3D spatial info...
متن کاملPalarimetric Synthetic Aperture Radar Image Classification using Bag of Visual Words Algorithm
Land cover is defined as the physical material of the surface of the earth, including different vegetation covers, bare soil, water surface, various urban areas, etc. Land cover and its changes are very important and influential on the Earth and life of living organisms, especially human beings. Land cover change monitoring is important for protecting the ecosystem, forests, farmland, open spac...
متن کاملSimulation of Smoke Emission from Fires in High-Rise Buildings Using the 3D Model Generated from 2-Dimensional Cadastral Data
Having a 3-Dimensional model of high-rise buildings can be used in disaster management such as fire cases to reduce casualties. The fundamental dilemma in 3D building modeling is the unavailability of suitable data sources. However, available cadastral 2D maps could be used as low-cost and attainable resources for 3D building modeling. Smoke will be a great threat to people's health during a f...
متن کامل