Revisiting the PnP Problem with a GPS
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Adaptive Sample Consensus for Efficient Random Optimization
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
TOCSAC: TOpology Constraint SAmple Consensus for Fast and Reliable Feature Correspondence
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Estimation of the epipole using optical flow at antipodal points
Computer Vision and Image Understanding
1-point RANSAC for EKF-based structure from motion
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A fast and effective outlier detection method for matching uncalibrated images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Building Rome on a cloudless day
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Accelerated hypothesis generation for multi-structure robust fitting
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Combining geometric and appearance priors for robust homography estimation
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Fast parallel model estimation on the cell broadband engine
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
International Journal of Computer Vision
iSpy: automatic reconstruction of typed input from compromising reflections
Proceedings of the 18th ACM conference on Computer and communications security
Dense versus Sparse Approaches for Estimating the Fundamental Matrix
International Journal of Computer Vision
Vision-based absolute navigation for descent and landing
Journal of Field Robotics
Conjugate gradient on Grassmann manifolds for robust subspace estimation
Image and Vision Computing
Enhanced RANSAC sampling based on non-repeating combinations
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Accurate single image multi-modal camera pose estimation
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Fast organization of large photo collections using CUDA
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
A Theory of Minimal 3D Point to 3D Plane Registration and Its Generalization
International Journal of Computer Vision
Globally optimal consensus set maximization through rotation search
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Stable two view reconstruction using the six-point algorithm
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Exploring high-level plane primitives for indoor 3d reconstruction with a hand-held RGB-D camera
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Efficient and robust model fitting with unknown noise scale
Image and Vision Computing
Accurate and robust localization of duplicated region in copy---move image forgery
Machine Vision and Applications
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The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction of outliers. There have been a number of recent efforts that aim to increase the efficiency of the standard RANSAC algorithm. Relatively fewer efforts, however, have been directed towards formulating RANSAC in a manner that is suitable for real-time implementation. The contributions of this work are two-fold: First, we provide a comparative analysis of the state-of-the-art RANSAC algorithms and categorize the various approaches. Second, we develop a powerful new framework for real-time robust estimation. The technique we develop is capable of efficiently adapting to the constraints presented by a fixed time budget, while at the same time providing accurate estimation over a wide range of inlier ratios. The method shows significant improvements in accuracy and speed over existing techniques.