From Gestalt Theory to Image Analysis

Abstract. This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a contrario framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.

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“…They employ the shape context [2] as descriptor and the a contrario framework [3] to perform the shape context matching.…”

Section: Edge Based Methodsmentioning

confidence: 99%

Multiple Clues for License Plate Detection and Recognition

Negri

Tepper

Acevedo

et al. 2010

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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“…A rarity threshold ε must nevertheless be fixed for each application. Candidate cylinders with NFA(r, c, x) ≤ ε will be called ε-meaningful cylinders [3], constituting the detection result of the algorithm.…”

Section: Non-accidentalness / Number Of False Alarmsmentioning

confidence: 99%

“…The method described in this article is based on the a contrario methodology proposed by Desolneux, Moisan and Morel [2,3]. It is a mathematical formalization of the non-accidentalness principle proposed for perception [11,1,10] (sometimes called Helmholtz principle).…”

Section: Introductionmentioning

confidence: 99%

A Contrario 3D Point Alignment Detection Algorithm

Gómez¹,

Randall²,

Gioi³

2017

Image Processing on Line

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In this article we present an algorithm for the detection of perceptually relevant alignments in 3D point clouds. The algorithm is an extension of the algorithm developed by Lezama et al.[J. Lezama, J-M. Morel, G. Randall, R. Grompone von Gioi, A Contrario 2D Point Alignment Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (3), pp. [499][500][501][502][503][504][505][506][507][508][509][510][511][512] 2015] for the case of sets of 2D points. The algorithm is based on the a contrario detection theory that mathematically formalizes the non-accidentalness principle proposed for perception: an observed structure is relevant if it rarely occurs by chance. This framework has been widely used in different detection tasks and leads to algorithms with a single critical parameter to control the number of false detections. Source CodeThe reviewed source code and documentation for this algorithm are available from the web page of this article 1 . Compilation and usage instruction are included in the README.txt file of the archive.

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“…The form of (1) is typical of a contrario models (see [2,6]): it guarantees that for any ε > 0, the expected number of sets S that pass the test N F A(S) < ε is, for random data, less than ε. In practice, one often chooses the value ε = 1, so that only one false alarm is expected, on average, for random data.…”

Section: Fundamental Matrix Computation Using Orsamentioning

confidence: 99%

A New A Contrario Approach for the Robust Determination of the Fundamental Matrix

Espuny

Monasse

Moisan

2014

Image and Video Technology – PSIVT 2013 Workshops

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Abstract. The fundamental matrix is a two-view tensor that plays a central role in Computer Vision geometry. We address its robust estimation given correspondences between image features. We use a nonparametric estimate of the distribution of image features, and then follow a probabilistic approach to select the best possible set of inliers among the given feature correspondences. The use of this perception-based a contrario principle allows us to avoid the selection of a precision threshold as in RANSAC, since we provide a decision criterion that integrates all data and method parameters (total number of points, precision threshold, number of inliers given this threshold). Our proposal is analyzed in simulated and real data experiments; it yields a significant improvement of the ORSA method proposed in 2004, in terms of reprojection error and relative motion estimation, especially in situations of low inlier ratios.

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From Gestalt Theory to Image Analysis

Cited by 353 publications

References 87 publications

Multiple Clues for License Plate Detection and Recognition

Multiple Clues for License Plate Detection and Recognition

A Contrario 3D Point Alignment Detection Algorithm

A New A Contrario Approach for the Robust Determination of the Fundamental Matrix

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