Meaningful Matches in Stereovision

by   Neus Sabater, et al.

This paper introduces a statistical method to decide whether two blocks in a pair of of images match reliably. The method ensures that the selected block matches are unlikely to have occurred "just by chance." The new approach is based on the definition of a simple but faithful statistical "background model" for image blocks learned from the image itself. A theorem guarantees that under this model not more than a fixed number of wrong matches occurs (on average) for the whole image. This fixed number (the number of false alarms) is the only method parameter. Furthermore, the number of false alarms associated with each match measures its reliability. This "a contrario" block-matching method, however, cannot rule out false matches due to the presence of periodic objects in the images. But it is successfully complemented by a parameterless "self-similarity threshold." Experimental evidence shows that the proposed method also detects occlusions and incoherent motions due to vehicles and pedestrians in non simultaneous stereo.


page 4

page 8

page 9

page 11


A Bayesian algorithm for detecting identity matches and fraud in image databases

A statistical algorithm for categorizing different types of matches and ...

Deep Learning Improves Template Matching by Normalized Cross Correlation

Template matching by normalized cross correlation (NCC) is widely used f...

Compatibility and Timing Attacks for JPEG Steganalysis

This paper introduces a novel compatibility attack to detect a steganogr...

Characterizing the Variability in Face Recognition Accuracy Relative to Race

Many recent news headlines have labeled face recognition technology as b...

Best Match Graphs and Reconciliation of Gene Trees with Species Trees

A wide variety of problems in computational biology, most notably the as...

A Continuum Model of Stable Matching With Finite Capacities

This paper introduces a unified framework for stable matching, which nes...

A General Preprocessing Method for Improved Performance of Epipolar Geometry Estimation Algorithms

In this paper a deterministic preprocessing algorithm is presented, whos...

Please sign up or login with your details

Forgot password? Click here to reset