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Michela Lecca

Permanent researcher
  • Phone: 0461314536
  • FBK Povo
Short bio

Michela received her Master Degree in Mathematics from the University of Trento, Italy. She is currently researcher at the Research Unit Technologies of Vision of Fondazione Bruno Kessler of Trento, Italy. Her research interests include automatic object recognition, image retrieval, semantic image labeling, color constancy, color correction, and low-level image processing. From 2014, Michela collaborates with the research Unit IRIS (FBK-CMM) on hardware-oriented computer vision topics.

Michela took part to the program committee of many editions of Applied Computing Machine Symposia, and carries on a reviewing activity for several international conferences. She is a member of the International Association for Pattern Recognition -  Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning IAPR - CVPL (ex GIRPR) and of the Gruppo Italiano del Colore - Associazione Italiana Colore (GdC-AIC).

In 2015-2016 Michela led a Research in Pairs with the University of Trento, Department of Mathematics, and the University of Milano, Department of Computer Science. "Research in Pairs" is a program of FBK-CIRM, that promotes the collaboration among different research centers and/or university on topics mainly related to Mathematics. The research in pairs involving Michela focuses on the development of variational models for estimating the human color sensation. The main findings of this research have been published on JOSA A  and on IEEE TIP

In March 2017, Michela presented a Tutorial on Retinex theory at the 6th Computational Color Imaging Workshop (Milano, Italy) .

In September 2017, Michela, along with her colleagues at IRIS, participated at the Notte dei Ricercatori and presented some outcomes of the EU Project FORENSOR (Visione Intelligente a Basso Consumo / Ecco la telecamera anti-crimine!).

Michela was a co-organizer of the Workshop "Mathematics for Computer Vision" (MCV 2018), hosted by FBK - ICT on February 15-16, 2018.

Michela is a Guest Editor of the Special Issue on J. of Imaging Image Enhancement, Modeling and Visualization. The call for paper is published on the journal website, deadline on August 12, 2018 (EXTENDED!).

Research interests
object recognition semantic image labeling color constancy color correction hardware oriented image processing
Publications
  1. M. Lecca; S. Messelodi,
    Von Kries Model Under Planckian Illuminants,
    Proceedings of ICIAP 2011,
    Springer,
    vol.1,
    2011
    , pp. 296-
    305
    , (International Conference on Image Analysis and Processing,
    Ravenna, ITALY,
    from 09/14/2011 to 09/16/2011)
  2. M. Lecca; S. Messelodi,
    Von Kries Model Under Planckian Illuminants: An Empirical Analysis,
    This is a technical report, that investigate the relation between two models for describing the variation of the colors due to a photmetric change.

    Abstract:
    Planckian illuminants and the von Kries diagonal model are commonly assumed by many computer vision algorithms for modeling the color variations between two images of a same scene captured under two different illuminants.
    In this work we provide a method to estimate a von Kries transform approximating a Planckian illuminant change and we show that the Planckian assumption constraints the von Kries coefficients to belong to a ruled surface depending on physical cues of the lights. Moreover, we provide an approximated parametric representation of such a surface, making evident the dependence of the von Kries transform on the light color temperature and on the intensity.

    ,
    2011
  3. Michela Lecca,
    Statistics-based Estimate of Affine Transforms between Images Without Correspondences,
    Technical Report,
    2011
  4. Michela Lecca; Stefano Messelodi,
    Planckian Illuminants and Von Kries Model,
    Technical Report -

    In this work the authors investigate two hypotheses commonly assumed in Computer Vision and Computer Graphics for solvin

    In this work the authors investigate the relations between the colors of two pictures of a same scene taken under two different light sources. This is a crucial task in Computer Vision and Computer Graphics.
    The authors show that: (1) the von Kries model suffices for describing the color variation due to a Planckian illuminant change; (2) the Planck's law constraints the triplets of the von Kries coefficients to be points of a ruled surfaces parametrized by the photometric cues of the illuminants; (3) the von Kries coefficients are strongly related to the sensitivity functions of the device.
    Several experiments carried out on public image datasets are presented.

    ,
    2010
  5. Michela Lecca; Stefano Messelodi,
    Computing von Kries Illuminant Changes by Piecewise Inversion of Cumulative Color Histograms,
    in «ELCVIA. ELECTRONIC LETTERS ON COMPUTER VISION AND IMAGE ANALYSIS»,
    2009
    , pp. 1 -
    17
  6. Michela Lecca,
    An Attention Module for Object Detection in Cluttered Images,
    in «ELCVIA. ELECTRONIC LETTERS ON COMPUTER VISION AND IMAGE ANALYSIS»,
    2009
    , pp. 68 -
    83
  7. Michela Lecca; Stefano Messelodi,
    Illuminant Change Estimation via Minimization of Color Histogram Divergence,
    Computational Color Imaging Workshop,
    Springer,
    vol.5646/2009,
    n. LNCS 5646,
    2009
    , pp. 41-
    50
    , (Computational Color Imaging Workshop,
    Saint-Etienne, France,
    03/26/2009 - 03/27/2009)
  8. Paola Lecca; Lorenzo Demattè; Michela Lecca; Corrado Priami,
    Stochastic modelling of diffusion systems. Video image simulation of tubulin diffusion in cytoplasm: a case study,
    II ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing,
    2009
    , (II ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing,
    Porto, Portugal,
    14/10/2009 - 16/10/2009)
  9. Michela Lecca,
    The object classifier OC-COMPASS,
    This paper presents the nearest-neighbor object classifier OC-COMPASS, that recognizes rescaled, rotated, translated, relighted and partially occluded versions of the objects stored in one or more databases. This tool has been developed for browsing web catalogs by similarity and has been successfully integrated in a system for the automatic object recognition within color images.,
    2009
  10. Paola Lecca; Michela Lecca,
    A model of the Ca2+ and Na+ waves kinetics in astrocytes and its relevance to functional brain imaging,
    5th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS,
    2008
    , pp. 2296-
    2296
    , (5th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS,
    Venice, Italy,
    30/06/2008 - 04/07/2008)

Pages