Randomized RANSAC with Td, d test

By Jiri Matas, Ondřej Chum. Image and Vision Computing, 2004

369 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Preemptive RANSAC for live structure and motion estimation (2003, methodology): “The first preemption scheme of a non-trivial nature was proposed by Chum in [5].”
Locally Optimized RANSAC (2003, methodology): “The improvement proposed in this paper requires no extra input information or prior knowledge, and it does not interfere with other modifications of the algorithm, the mlesac [14], r-ransac [ 1 ] and napsac [8].”
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus (2008, methodology): “Some of these strategies [2,3,4] aim to optimize the process of model verification, while others [5,6,7] seek to modify the sampling process in order to preferentially generate more useful hypotheses.”
Class-Based Feature Matching Across Unrestricted Transformations (2008, methodology): “Correct matches could therefore be identified using RANSAC or a similar procedure [31].”
An efficient solution to the five-point relative pose problem (2004, background): “As described in [26], preemptive scoring is used for efficiency reasons. See, also, [ 2 ].”
Performance Evaluation of RANSAC Family (2009, neutral): “R-RANSAC (Randomized RANSAC) [5] performs a preliminary test, Td,d test, at Step 3.”
Visual Modeling with a Hand-Held Camera (2004, neutral): “the verification of unpromising hypothesis [4].”