{rfName}
Vi

Indexed in

Altmetrics

Analysis of institutional authors

Cuevas, CarlosCorresponding Author

Share

April 8, 2026
Publications
>
Article
No

Viewpoint-invariant soccer pitch registration using geometric and learned features

Publicated to: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION. 117 104781- - 2026-04-01 117(), DOI: 10.1016/j.jvcir.2026.104781

Authors:

Cuevas, Carlos; Berjon, Daniel; Garcia, Narciso
[+]

Affiliations

- Author
Univ Politecn Madrid, Informat Proc & Telecommun Ctr IPTC, Grp Tratamiento Imagenes GTI, Madrid, Spain - Author

Abstract

Automatic registration of broadcast soccer images to a standardized field model enables advanced analytics, augmented reality overlays, and precise player tracking. We propose a fully automatic, viewpoint-independent homography estimation pipeline fusing three complementary geometric cues: white field markings (lines and elliptical arcs), grass-band delimitations, and a binary playing-field mask. Detected primitives are first richly labeled - classifying lines as longitudinal or transversal, characterizing grass-tone transitions, and encoding four-quadrant intersection patterns - to reduce correspondence ambiguity. We then generate and prune candidate subsets of primitives, establish plausible matches to model elements via intersection-pattern rules and projective cross-ratio invariants, and systematically evaluate homography hypotheses using bidirectional mask-projection accuracies and mean reprojection error. An experimental evaluation on the LaSoDa benchmark demonstrates that the proposed method achieves highly accurate registrations with ground-truth primitives and robust performance in the fully automatic end-to-end pipeline. Furthermore, comparative experiments with recent state-of-the-art approaches confirm improved precision and robustness across diverse broadcast scenarios.
[+]

Keywords

Grass-band analysisHomography estimationLine and ellipse detectionProjective invariantsSoccer field registrationSports video analytics

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2026, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Media Technology.

[+]

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-26:

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.
  • The number of mentions on the social network X (formerly Twitter): 2 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/95241/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 9
  • Downloads: 7
[+]

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (CUEVAS RODRIGUEZ, CARLOS) .

the author responsible for correspondence tasks has been CUEVAS RODRIGUEZ, CARLOS.

[+]

Awards linked to the item

This work has been partially supported by project PID2023-148922OA-I00 (EEVOCATIONS) funded by MCIU/AEI/10.13039/501100011033 of the Spanish Government, and by project TEC-2024/COM-322 (IDEALCV-CM) funded by Comunidad de Madrid.
[+]