منابع مشابه
Randomized RANSAC with Sequential Probability Ratio Test
A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-controllable probability η. A provably optimal model verification strategy is designed for the situation when the contamination of data by outliers is known, i.e. the algorithm is the fastest possible (on average) of all randomized RANSAC algorithms guar...
متن کاملRandomized RANSAC with T(d, d) test
Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC algorithm is possibly the most widely used robust estimator in the field of computer vision. In the paper we show that under a broad range of conditions, RANSAC efficiency is significantly improved if its hypothesis eval...
متن کاملRANSAC versus CS-RANSAC
A homography matrix is used in computer vision field to solve the correspondence problem between a pair of stereo images. RANSAC algorithm is often used to calculate the homography matrix by randomly selecting a set of features iteratively. CSRANSAC algorithm in this paper converts RANSAC algorithm into two-layers. The first layer is addressing sampling problem which we can describe our knowled...
متن کاملAn Effective Bail-out Test for RANSAC Consensus Scoring
The random sample consensus (RANSAC) algorithm, along with its many cousins such as MSAC and MLESAC, has become a standard choice for robust estimation in many computer vision problems. Recently, a raft of modifications to the basic RANSAC algorithm have been proposed aimed at improving its efficiency. Many of these optimizations work by reducing the number of hypotheses that need to be evaluat...
متن کاملDe-RANSAC: Decentralized RANSAC for Sensor Networks
This paper studies the problem of distributed consensus in the presence of spurious sensor information. We propose a new method, De-RANSAC, which allows a multi-agent system to detect outliers—erroneous measurements or incorrect hypotheses—when the sensed information is gathered in a distributed way. The method is an extension of the RANSAC (RANdom SAmple Consensus) algorithm, which leads to a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 2004
ISSN: 0262-8856
DOI: 10.1016/j.imavis.2004.02.009