Mobile robot ego motion estimation using RANSAC-based ceiling vision by Wang, Han, Mou, Wei, Ly, Minh Hiep, Lau, Michael Wai Shing, Seet Gim Lee, Gerald, Wang, Danwei

“…The 3D affine transformation model is estimated between these two frames based on Random Sample Consensus (RANSAC) method. All inliers are then used to reestimate the relative transformation between two frames by Singular Value Decomposition (SVD). …”
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Interactive mobile media search engine by Tay, Jun Bao.

“…The goal was achieved through analyzing the problem of the current GV, as well as, investigating the parameters or thresholds used in pairwise matching and RANSAC estimation algorithm. Different variations of robust estimation of geometric transformation were also explored as the possible alternatives other than RANSAC, such as PROSAC, MLESAC and SCRAMSAC. …”
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Image registration by Tan, Jun Hao

“…Similarly, the M-estimator is a modified technique of the Random Sample Consensus (RANSAC).…”
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Digital image forensics by Ng, Nou Xian.

“…This project serves to conduct an experimental investigation using a series of designed methodologies and algorithms like SIFT (Scale Invariant Features Transform), RANSAC (Random Sample Consensus) to identify a digital image forgery called copy-­‐move forgery. …”
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Transformation models for images by Cheah, Ann Chee

“…Using OpenCV library and two main algorithms, namely SIFT, a feature detector that extracts unique point of interest from an algorithm to find the descriptor of each of such key point and RANSAC, an iterative method to detect any outliers by estimating the parameters of the mathematical model from a set of observed data. …”
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Point cloud registration using deep learning and its application in odometry estimation by Zhou, Yuting

“…To reduce the computational complexity, a series of data preprocessing operations are performed on the point clouds before feeding them to the DCP model for registration, such as Random Sample Consensus(RANSAC), data clustering and key point extraction. …”
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Urban vehicle ego lane detection by Srinivasan Karunathrinathan Harisudan

“…To get rid of the outliers and pick the best estimate of inliers, RANSAC (Random SAmple Consensus) is used. The points on the lanes are identified from the best estimate and the lane where the vehicle is being driven is drawn. …”
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A framework for fast and robust visual odometry by Wu, Meiqing, Lam, Siew-Kei, Srikanthan, Thambipillai

“…Finally, an early termination condition for the random sample consensus (RANSAC) algorithm is integrated with the Gauss-Newton optimization scheme to enable rapid convergence of the motion estimation process while achieving robustness. …”
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Image processing for TPEF/SHG laser scanning microscope by Tham, Yi Hui

“…These interest points are then described by SIFT algorithm for the purpose of matching interest points of one image to that of another image. Using RANSAC, a homography transformation between two images is estimated from the set of matching interest points. …”
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Mobile visual search and applications by Hu, Mengjiao

“…Geometric verification using RANdom Sample Consensus (RANSAC) method is applied to selected image. Then the query result is sent to client side. …”
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Real-time recognition and tracking of texture-less objects by Chan, Jacob Huat Kwang

“…As widely used algorithms are highly iterative (i.e. RANSAC, Hough Transform), they are mostly too expensive for real-time applications. …”
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Copy-move image forgery detection based on evolving circular domains coverage by Lu, Shilin, Hu, Xinghong, Wang, Chengyou, Chen, Lu, Han, Shulu, Han, Yuejia

“…Then, random sample consensus (RANSAC) algorithm is employed to filter out mismatched pairs, thus allowing rough localization of counterfeit areas. …”
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Online extrinsic calibration of multiple long baseline ranging sensors by Yan, Qiao

“…The refined depth is utilized in PnP Ransac method to remove outliers and obtain a coarse extrinsic parameter. …”
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Vision based scene understanding for collision avoidance on roadway by Wu, Meiqing

“…A robust and compute-efficient KLT tracker is proposed to facilitate the generation of the feature correspondences. Finally, an early RANSAC termination condition is introduced to the Gaussian-Newton optimization scheme to achieve rapid convergence of the motion estimation process. …”
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