Citation

BibTeX citation:

@inproceedings{souradi2020,
  author = {Souradi, Ali and Lecomte, Christele and Romeo, Katerine and
    Gay, Simon and Rivière, Marc-Aurèle and El Moataz, Abderrahim and
    Pissaloux, Edwige},
  editor = {El Moataz, Abderrahim and Mammass, Driss and Mansouri,
    Alamin and Nouboud, Fathallah},
  publisher = {Springer International Publishing},
  title = {Towards the {Tactile} {Discovery} of {Cultural} {Heritage}
    with {Multi-approach} {Segmentation}},
  booktitle = {Lecture Notes in Computer Science},
  volume = {12119},
  pages = {14-23},
  date = {2020-07-08},
  url = {http://link.springer.com/10.1007/978-3-030-51935-3_2},
  doi = {10.1007/978-3-030-51935-3_2},
  isbn = {978-3-030-51934-6 978-3-030-51935-3},
  langid = {en},
  abstract = {This paper presents a new way to access visual information
    in museums through tactile exploration, and related techniques to
    efficiently transform visual data into tactile objects.
    Accessibility to cultural heritage and artworks for people with
    visual impairments requires the segmentation of images and paintings
    to extract and classify their contents into meaningful elements
    which can then be presented through a tactile medium. In this paper,
    we investigate the feasibility and how to optimize the tactile
    discovery of an image. First, we study the emergence of image
    comprehension through tactile discovery, using 3D-printed objects
    extracted from paintings. Later, we present a dynamic Force Feedback
    Tablet (F2T) used to convey the 2D shape and texture information of
    objects through haptic feedback. We then explore several image
    segmentation methods to automate the extraction of meaningful
    objects from selected artworks, to be presented to visually impaired
    people through the F2T. Finally, we evaluate how to best combine the
    F2T’s haptic effects in order to convey the extracted objects and
    features to the users, with the aim of facilitating the
    comprehension of the represented objects and their affordances.}
}

For attribution, please cite this work as:

Souradi, A., Lecomte, C., Romeo, K., Gay, S., Rivière, M.-A., El Moataz, A., & Pissaloux, E. (2020). Towards the Tactile Discovery of Cultural Heritage with Multi-approach Segmentation. In A. El Moataz, D. Mammass, A. Mansouri, & F. Nouboud (Eds.), Lecture Notes in Computer Science (Vol. 12119, pp. 14–23). Springer International Publishing. https://doi.org/10.1007/978-3-030-51935-3_2