Results 151 to 160 of about 3,994 (183)

Improving RANSAC for fast landmark recognition

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
We introduce a procedure for recognizing and locating planar landmarks for mobile robot navigation, based in the detection and recognition of a set of interest points. We use RANSAC for fitting a homography and locating the landmark. Our main contribution is the introduction of a geometrical constraint that reduces the number of RANSAC iterations by ...
Pablo Márquez-Neila, Jacobo Garcia Miro, José Miguel Buenaposada, Luis Baumela   +3 more
openaire   +1 more source

RANSAC matching: Simultaneous registration and segmentation

2010 IEEE International Conference on Robotics and Automation, 2010
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample consensus (RANSAC) based algorithm to simultaneously achieving robust and realtime ego-motion estimation, and multi-scale segmentation in environments with rapid changes.
Shao-Wen Yang, Chieh-Chih Wang, Chun-Hua Chang   +2 more
openaire   +1 more source

Hierarchical RANSAC for accurate horizon detection

2016 24th Mediterranean Conference on Control and Automation (MED), 2016
The horizon in marine scenes provides an important prior feature for unmanned surface vehicles (USV) based research and applications. However, most of existing research in horizon detection usually consider specific or simple scenarios. In this paper, we propose a novel approach to detect the horizon in maritime images with various situations by ...
Xiaozheng Mou, Bok-Suk Shin, Han Wang 0001   +2 more
openaire   +1 more source

1-Point RANSAC

2011
Random Sample Consensus (RANSAC) has become one of the most successful techniques for robust estimation from a data set that may contain outliers. It works by constructing model hypotheses from random minimal data subsets and evaluating their validity from the support of the whole data.
Javier Civera, Andrew J. Davison, José María Martínez Montiel   +2 more
openaire   +1 more source

MC-RANSAC: A Pre-processing Model for RANSAC using Monte Carlo method implemented on a GPU

2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013
RANSAC is a repeating hypothesize-and-verify procedure for parameter estimation and filtering of noise or outlier data. In the traditional approach, this algorithm is evaluated without any prior information on the set of data points which leads to an increase in the number of iterations and compute time.
Priyank Trivedi, Tejaswi Agarwal, K. Muthunagai   +2 more
openaire   +1 more source

A WD-RANSAC Instantaneous Frequency Estimator

IEEE Signal Processing Letters, 2016
A Wigner distribution-based random sample consensus (RANSAC) algorithm for the instantaneous frequency estimation is proposed. The algorithm performance is studied for several signal types and compared with the state-of-the-art Viterbi algorithm in both accuracy and complexity.
openaire   +1 more source

RANSAC for outlier detection

2010
Lietuviška santrauka. Nūdienos skaitmeninė fotogrametrija nagrinėja fotografinių vaizdų, kuriuose gausu duomenų, apdorojimo procedūras, todėl automatiškai rasti geriausią sprendimą ilgai trunka, būtina talpi kompiuterinė atmintis. Atliekant fotonuotraukų sugretinimą (matching), vienas iš pagrindinių uždavinių yra teisingai identifikuoti duomenų ...
Ruzgienė, Birutė, Fröhner, Wolfgang
openaire   +1 more source

RANSAC-NN: Unsupervised Image Outlier Detection using RANSAC.

CoRR, 2023
Chen-Han Tsai, Yu-Shao Peng
openaire   +1 more source

Learning to Find Good Models in RANSAC

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Daniel Barath, Luca Cavalli, Marc Pollefeys   +2 more
openaire   +1 more source

RANSAC for Robotic Applications: A Survey

Sensors, 2023
JOSÉ Maria Martínez-Otzeta, Itsaso Rodríguez-Moreno, Inigo Mendialdua   +2 more
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