---
_id: '12972'
abstract:
- lang: eng
  text: Embroidery is a long-standing and high-quality approach to making logos and
    images on textiles. Nowadays, it can also be performed via automated machines
    that weave threads with high spatial accuracy. A characteristic feature of the
    appearance of the threads is a high degree of anisotropy. The anisotropic behavior
    is caused by depositing thin but long strings of thread. As a result, the stitched
    patterns convey both color and direction. Artists leverage this anisotropic behavior
    to enhance pure color images with textures, illusions of motion, or depth cues.
    However, designing colorful embroidery patterns with prescribed directionality
    is a challenging task, one usually requiring an expert designer. In this work,
    we propose an interactive algorithm that generates machine-fabricable embroidery
    patterns from multi-chromatic images equipped with user-specified directionality
    fields.We cast the problem of finding a stitching pattern into vector theory.
    To find a suitable stitching pattern, we extract sources and sinks from the divergence
    field of the vector field extracted from the input and use them to trace streamlines.
    We further optimize the streamlines to guarantee a smooth and connected stitching
    pattern. The generated patterns approximate the color distribution constrained
    by the directionality field. To allow for further artistic control, the trade-off
    between color match and directionality match can be interactively explored via
    an intuitive slider. We showcase our approach by fabricating several embroidery
    paths.
acknowledgement: This work was supported by the European Research Council (ERC) under
  the European Union’s Horizon 2020 research and innovation program (grant agreement
  No 715767 – MATERIALIZABLE), and FWF Lise Meitner (Grant M 3319). We thank the anonymous
  reviewers for their insightful feedback; Solal Pirelli, Shardul Chiplunkar, and
  Paola Mejia for proofreading; everyone in the visual computing group at ISTA for
  inspiring lunch and coffee breaks; Thibault Tricard for help producing the results
  of Phasor Noise.
article_processing_charge: No
article_type: original
author:
- first_name: Zhenyuan
  full_name: Liu, Zhenyuan
  id: 70f0d7cf-ae65-11ec-a14f-89dfc5505b19
  last_name: Liu
  orcid: 0000-0001-9200-5690
- first_name: Michael
  full_name: Piovarci, Michael
  id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
  last_name: Piovarci
- first_name: Christian
  full_name: Hafner, Christian
  id: 400429CC-F248-11E8-B48F-1D18A9856A87
  last_name: Hafner
- first_name: Raphael
  full_name: Charrondiere, Raphael
  id: a3a24133-2cc7-11ec-be88-8ddaf6f464b1
  last_name: Charrondiere
- first_name: Bernd
  full_name: Bickel, Bernd
  id: 49876194-F248-11E8-B48F-1D18A9856A87
  last_name: Bickel
  orcid: 0000-0001-6511-9385
citation:
  ama: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. Directionality-aware
    design of embroidery patterns. <i>Computer Graphics Forum</i>. 2023;42(2):397-409.
    doi:<a href="https://doi.org/10.1111/cgf.14770 ">10.1111/cgf.14770 </a>
  apa: 'Liu, Z., Piovarci, M., Hafner, C., Charrondiere, R., &#38; Bickel, B. (2023).
    Directionality-aware design of embroidery patterns. <i>Computer Graphics Forum</i>.
    Saarbrucken, Germany: Wiley. <a href="https://doi.org/10.1111/cgf.14770 ">https://doi.org/10.1111/cgf.14770
    </a>'
  chicago: Liu, Zhenyuan, Michael Piovarci, Christian Hafner, Raphael Charrondiere,
    and Bernd Bickel. “Directionality-Aware Design of Embroidery Patterns.” <i>Computer
    Graphics Forum</i>. Wiley, 2023. <a href="https://doi.org/10.1111/cgf.14770 ">https://doi.org/10.1111/cgf.14770
    </a>.
  ieee: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, and B. Bickel, “Directionality-aware
    design of embroidery patterns,” <i>Computer Graphics Forum</i>, vol. 42, no. 2.
    Wiley, pp. 397–409, 2023.
  ista: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. 2023. Directionality-aware
    design of embroidery patterns. Computer Graphics Forum. 42(2), 397–409.
  mla: Liu, Zhenyuan, et al. “Directionality-Aware Design of Embroidery Patterns.”
    <i>Computer Graphics Forum</i>, vol. 42, no. 2, Wiley, 2023, pp. 397–409, doi:<a
    href="https://doi.org/10.1111/cgf.14770 ">10.1111/cgf.14770 </a>.
  short: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, B. Bickel, Computer Graphics
    Forum 42 (2023) 397–409.
conference:
  end_date: 2023-05-12
  location: Saarbrucken, Germany
  name: 'EG: Eurographics'
  start_date: 2023-05-08
date_created: 2023-05-16T08:47:25Z
date_published: 2023-05-08T00:00:00Z
date_updated: 2023-08-01T14:47:05Z
day: '08'
ddc:
- '004'
department:
- _id: BeBi
doi: '10.1111/cgf.14770 '
ec_funded: 1
external_id:
  isi:
  - '001000062600033'
file:
- access_level: open_access
  checksum: 4c188c2be4745467a8790bbf5d6491aa
  content_type: application/pdf
  creator: mpiovarc
  date_created: 2023-05-16T08:28:37Z
  date_updated: 2023-05-16T08:28:37Z
  file_id: '12974'
  file_name: Zhenyuan2023.pdf
  file_size: 24003702
  relation: main_file
  success: 1
file_date_updated: 2023-05-16T08:28:37Z
has_accepted_license: '1'
intvolume: '        42'
isi: 1
issue: '2'
keyword:
- embroidery
- design
- directionality
- density
- image
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: 397-409
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
  grant_number: M03319
  name: Perception-Aware Appearance Fabrication
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '715767'
  name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
    Modeling'
publication: Computer Graphics Forum
publication_identifier:
  issn:
  - 1467-8659
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Directionality-aware design of embroidery patterns
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 42
year: '2023'
...
---
_id: '11615'
abstract:
- lang: eng
  text: The recently published Kepler mission Data Release 25 (DR25) reported on ∼197 000
    targets observed during the mission. Despite this, no wide search for red giants
    showing solar-like oscillations have been made across all stars observed in Kepler’s
    long-cadence mode. In this work, we perform this task using custom apertures on
    the Kepler pixel files and detect oscillations in 21 914 stars, representing the
    largest sample of solar-like oscillating stars to date. We measure their frequency
    at maximum power, νmax, down to νmax≃4μHz and obtain log (g) estimates with a
    typical uncertainty below 0.05 dex, which is superior to typical measurements
    from spectroscopy. Additionally, the νmax distribution of our detections show
    good agreement with results from a simulated model of the Milky Way, with a ratio
    of observed to predicted stars of 0.992 for stars with 10<νmax<270μHz. Among our
    red giant detections, we find 909 to be dwarf/subgiant stars whose flux signal
    is polluted by a neighbouring giant as a result of using larger photometric apertures
    than those used by the NASA Kepler science processing pipeline. We further find
    that only 293 of the polluting giants are known Kepler targets. The remainder
    comprises over 600 newly identified oscillating red giants, with many expected
    to belong to the Galactic halo, serendipitously falling within the Kepler pixel
    files of targeted stars.
acknowledgement: Funding for this Discovery mission is provided by NASA’s Science
  mission Directorate. We thank the entire Kepler team without whom this investigation
  would not be possible. DS is the recipient of an Australian Research Council Future
  Fellowship (project number FT1400147). RAG acknowledges the support from CNES. SM
  acknowledges support from NASA grant NNX15AF13G, NSF grant AST-1411685, and the
  Ramon y Cajal fellowship number RYC-2015-17697. ILC acknowledges scholarship support
  from the University of Sydney. We would like to thank Nicholas Barbara and Timothy
  Bedding for providing us with a list of variable stars that helped to validate a
  number of detections in this study. We also thank the group at the University of
  Sydney for fruitful discussions. Finally, we gratefully acknowledge the support
  of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Marc
  full_name: Hon, Marc
  last_name: Hon
- first_name: Dennis
  full_name: Stello, Dennis
  last_name: Stello
- first_name: Rafael A
  full_name: García, Rafael A
  last_name: García
- first_name: Savita
  full_name: Mathur, Savita
  last_name: Mathur
- first_name: Sanjib
  full_name: Sharma, Sanjib
  last_name: Sharma
- first_name: Isabel L
  full_name: Colman, Isabel L
  last_name: Colman
- first_name: Lisa Annabelle
  full_name: Bugnet, Lisa Annabelle
  id: d9edb345-f866-11ec-9b37-d119b5234501
  last_name: Bugnet
  orcid: 0000-0003-0142-4000
citation:
  ama: Hon M, Stello D, García RA, et al. A search for red giant solar-like oscillations
    in all Kepler data. <i>Monthly Notices of the Royal Astronomical Society</i>.
    2019;485(4):5616-5630. doi:<a href="https://doi.org/10.1093/mnras/stz622">10.1093/mnras/stz622</a>
  apa: Hon, M., Stello, D., García, R. A., Mathur, S., Sharma, S., Colman, I. L.,
    &#38; Bugnet, L. A. (2019). A search for red giant solar-like oscillations in
    all Kepler data. <i>Monthly Notices of the Royal Astronomical Society</i>. Oxford
    University Press. <a href="https://doi.org/10.1093/mnras/stz622">https://doi.org/10.1093/mnras/stz622</a>
  chicago: Hon, Marc, Dennis Stello, Rafael A García, Savita Mathur, Sanjib Sharma,
    Isabel L Colman, and Lisa Annabelle Bugnet. “A Search for Red Giant Solar-like
    Oscillations in All Kepler Data.” <i>Monthly Notices of the Royal Astronomical
    Society</i>. Oxford University Press, 2019. <a href="https://doi.org/10.1093/mnras/stz622">https://doi.org/10.1093/mnras/stz622</a>.
  ieee: M. Hon <i>et al.</i>, “A search for red giant solar-like oscillations in all
    Kepler data,” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 485,
    no. 4. Oxford University Press, pp. 5616–5630, 2019.
  ista: Hon M, Stello D, García RA, Mathur S, Sharma S, Colman IL, Bugnet LA. 2019.
    A search for red giant solar-like oscillations in all Kepler data. Monthly Notices
    of the Royal Astronomical Society. 485(4), 5616–5630.
  mla: Hon, Marc, et al. “A Search for Red Giant Solar-like Oscillations in All Kepler
    Data.” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 485, no.
    4, Oxford University Press, 2019, pp. 5616–30, doi:<a href="https://doi.org/10.1093/mnras/stz622">10.1093/mnras/stz622</a>.
  short: M. Hon, D. Stello, R.A. García, S. Mathur, S. Sharma, I.L. Colman, L.A. Bugnet,
    Monthly Notices of the Royal Astronomical Society 485 (2019) 5616–5630.
date_created: 2022-07-18T14:26:03Z
date_published: 2019-06-01T00:00:00Z
date_updated: 2022-08-22T07:35:19Z
day: '01'
doi: 10.1093/mnras/stz622
extern: '1'
external_id:
  arxiv:
  - '1903.00115'
intvolume: '       485'
issue: '4'
keyword:
- Space and Planetary Science
- Astronomy and Astrophysics
- asteroseismology
- 'methods: data analysis'
- 'techniques: image processing'
- 'stars: oscillations'
- 'stars: statistics'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1903.00115
month: '06'
oa: 1
oa_version: Preprint
page: 5616-5630
publication: Monthly Notices of the Royal Astronomical Society
publication_identifier:
  eissn:
  - 1365-2966
  issn:
  - 0035-8711
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: A search for red giant solar-like oscillations in all Kepler data
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 485
year: '2019'
...
---
_id: '9943'
abstract:
- lang: eng
  text: Segmentation is the process of partitioning digital images into meaningful
    regions. The analysis of biological high content images often requires segmentation
    as a first step. We propose ilastik as an easy-to-use tool which allows the user
    without expertise in image processing to perform segmentation and classification
    in a unified way. ilastik learns from labels provided by the user through a convenient
    mouse interface. Based on these labels, ilastik infers a problem specific segmentation.
    A random forest classifier is used in the learning step, in which each pixel's
    neighborhood is characterized by a set of generic (nonlinear) features. ilastik
    supports up to three spatial plus one spectral dimension and makes use of all
    dimensions in the feature calculation. ilastik provides realtime feedback that
    enables the user to interactively refine the segmentation result and hence further
    fine-tune the classifier. An uncertainty measure guides the user to ambiguous
    regions in the images. Real time performance is achieved by multi-threading which
    fully exploits the capabilities of modern multi-core machines. Once a classifier
    has been trained on a set of representative images, it can be exported and used
    to automatically process a very large number of images (e.g. using the CellProfiler
    pipeline). ilastik is an open source project and released under the BSD license
    at www.ilastik.org.
article_processing_charge: No
author:
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Christoph
  full_name: Straehle, Christoph
  last_name: Straehle
- first_name: Ullrich
  full_name: Köthe, Ullrich
  last_name: Köthe
- first_name: Fred A.
  full_name: Hamprecht, Fred A.
  last_name: Hamprecht
citation:
  ama: 'Sommer CM, Straehle C, Köthe U, Hamprecht FA. Ilastik: Interactive learning
    and segmentation toolkit. In: <i>2011 IEEE International Symposium on Biomedical
    Imaging: From Nano to Micro</i>. Institute of Electrical and Electronics Engineers;
    2011. doi:<a href="https://doi.org/10.1109/isbi.2011.5872394">10.1109/isbi.2011.5872394</a>'
  apa: 'Sommer, C. M., Straehle, C., Köthe, U., &#38; Hamprecht, F. A. (2011). Ilastik:
    Interactive learning and segmentation toolkit. In <i>2011 IEEE International Symposium
    on Biomedical Imaging: from Nano to Micro</i>. Chicago, Illinois, USA: Institute
    of Electrical and Electronics Engineers. <a href="https://doi.org/10.1109/isbi.2011.5872394">https://doi.org/10.1109/isbi.2011.5872394</a>'
  chicago: 'Sommer, Christoph M, Christoph Straehle, Ullrich Köthe, and Fred A. Hamprecht.
    “Ilastik: Interactive Learning and Segmentation Toolkit.” In <i>2011 IEEE International
    Symposium on Biomedical Imaging: From Nano to Micro</i>. Institute of Electrical
    and Electronics Engineers, 2011. <a href="https://doi.org/10.1109/isbi.2011.5872394">https://doi.org/10.1109/isbi.2011.5872394</a>.'
  ieee: 'C. M. Sommer, C. Straehle, U. Köthe, and F. A. Hamprecht, “Ilastik: Interactive
    learning and segmentation toolkit,” in <i>2011 IEEE International Symposium on
    Biomedical Imaging: from Nano to Micro</i>, Chicago, Illinois, USA, 2011.'
  ista: 'Sommer CM, Straehle C, Köthe U, Hamprecht FA. 2011. Ilastik: Interactive
    learning and segmentation toolkit. 2011 IEEE International Symposium on Biomedical
    Imaging: from Nano to Micro. ISBI: International Symposium on Biomedical Imaging.'
  mla: 'Sommer, Christoph M., et al. “Ilastik: Interactive Learning and Segmentation
    Toolkit.” <i>2011 IEEE International Symposium on Biomedical Imaging: From Nano
    to Micro</i>, Institute of Electrical and Electronics Engineers, 2011, doi:<a
    href="https://doi.org/10.1109/isbi.2011.5872394">10.1109/isbi.2011.5872394</a>.'
  short: 'C.M. Sommer, C. Straehle, U. Köthe, F.A. Hamprecht, in:, 2011 IEEE International
    Symposium on Biomedical Imaging: From Nano to Micro, Institute of Electrical and
    Electronics Engineers, 2011.'
conference:
  end_date: 2011-04-02
  location: Chicago, Illinois, USA
  name: 'ISBI: International Symposium on Biomedical Imaging'
  start_date: 2011-03-30
date_created: 2021-08-19T11:49:58Z
date_published: 2011-06-09T00:00:00Z
date_updated: 2023-02-23T14:13:38Z
day: '09'
department:
- _id: Bio
doi: 10.1109/isbi.2011.5872394
extern: '1'
keyword:
- image segmentation
- biomedical imaging
- three dimensional displays
- neurons
- retina
- observers
- image color analysis
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.researchgate.net/publication/224241106_Ilastik_Interactive_learning_and_segmentation_toolkit
month: '06'
oa: 1
oa_version: Preprint
publication: '2011 IEEE International Symposium on Biomedical Imaging: from Nano to
  Micro'
publication_identifier:
  eissn:
  - 1945-8452
  isbn:
  - 978-1-4244-4127-3
  issn:
  - 1945-7928
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
status: public
title: 'Ilastik: Interactive learning and segmentation toolkit'
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2011'
...