---
_id: '12135'
abstract:
- lang: eng
  text: A good match of material appearance between real-world objects and their digital
    on-screen representations is critical for many applications such as fabrication,
    design, and e-commerce. However, faithful appearance reproduction is challenging,
    especially for complex phenomena, such as gloss. In most cases, the view-dependent
    nature of gloss and the range of luminance values required for reproducing glossy
    materials exceeds the current capabilities of display devices. As a result, appearance
    reproduction poses significant problems even with accurately rendered images.
    This paper studies the gap between the gloss perceived from real-world objects
    and their digital counterparts. Based on our psychophysical experiments on a wide
    range of 3D printed samples and their corresponding photographs, we derive insights
    on the influence of geometry, illumination, and the display’s brightness and measure
    the change in gloss appearance due to the display limitations. Our evaluation
    experiments demonstrate that using the prediction to correct material parameters
    in a rendering system improves the match of gloss appearance between real objects
    and their visualization on a display device.
acknowledgement: This work is supported by FWF Lise Meitner (Grant M 3319), European
  Research Council (project CHAMELEON, Grant no. 682080), Swiss National Science Foundation
  (Grant no. 200502), and academic gifts from Meta.
article_number: '35'
article_processing_charge: No
author:
- first_name: Bin
  full_name: Chen, Bin
  last_name: Chen
- first_name: Michael
  full_name: Piovarci, Michael
  id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
  last_name: Piovarci
- first_name: Chao
  full_name: Wang, Chao
  last_name: Wang
- first_name: Hans-Peter
  full_name: Seidel, Hans-Peter
  last_name: Seidel
- first_name: Piotr
  full_name: Didyk, Piotr
  last_name: Didyk
- first_name: Karol
  full_name: Myszkowski, Karol
  last_name: Myszkowski
- first_name: Ana
  full_name: Serrano, Ana
  last_name: Serrano
citation:
  ama: 'Chen B, Piovarci M, Wang C, et al. Gloss management for consistent reproduction
    of real and virtual objects. In: <i>SIGGRAPH Asia 2022 Conference Papers</i>.
    Vol 2022. Association for Computing Machinery; 2022. doi:<a href="https://doi.org/10.1145/3550469.3555406">10.1145/3550469.3555406</a>'
  apa: 'Chen, B., Piovarci, M., Wang, C., Seidel, H.-P., Didyk, P., Myszkowski, K.,
    &#38; Serrano, A. (2022). Gloss management for consistent reproduction of real
    and virtual objects. In <i>SIGGRAPH Asia 2022 Conference Papers</i> (Vol. 2022).
    Daegu, South Korea: Association for Computing Machinery. <a href="https://doi.org/10.1145/3550469.3555406">https://doi.org/10.1145/3550469.3555406</a>'
  chicago: Chen, Bin, Michael Piovarci, Chao Wang, Hans-Peter Seidel, Piotr Didyk,
    Karol Myszkowski, and Ana Serrano. “Gloss Management for Consistent Reproduction
    of Real and Virtual Objects.” In <i>SIGGRAPH Asia 2022 Conference Papers</i>,
    Vol. 2022. Association for Computing Machinery, 2022. <a href="https://doi.org/10.1145/3550469.3555406">https://doi.org/10.1145/3550469.3555406</a>.
  ieee: B. Chen <i>et al.</i>, “Gloss management for consistent reproduction of real
    and virtual objects,” in <i>SIGGRAPH Asia 2022 Conference Papers</i>, Daegu, South
    Korea, 2022, vol. 2022.
  ista: 'Chen B, Piovarci M, Wang C, Seidel H-P, Didyk P, Myszkowski K, Serrano A.
    2022. Gloss management for consistent reproduction of real and virtual objects.
    SIGGRAPH Asia 2022 Conference Papers. SIGGRAPH: Computer Graphics and Interactive
    Techniques Conference vol. 2022, 35.'
  mla: Chen, Bin, et al. “Gloss Management for Consistent Reproduction of Real and
    Virtual Objects.” <i>SIGGRAPH Asia 2022 Conference Papers</i>, vol. 2022, 35,
    Association for Computing Machinery, 2022, doi:<a href="https://doi.org/10.1145/3550469.3555406">10.1145/3550469.3555406</a>.
  short: B. Chen, M. Piovarci, C. Wang, H.-P. Seidel, P. Didyk, K. Myszkowski, A.
    Serrano, in:, SIGGRAPH Asia 2022 Conference Papers, Association for Computing
    Machinery, 2022.
conference:
  end_date: 2022-12-09
  location: Daegu, South Korea
  name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
  start_date: 2022-12-06
date_created: 2023-01-12T12:03:56Z
date_published: 2022-11-01T00:00:00Z
date_updated: 2023-02-13T09:15:25Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3550469.3555406
file:
- access_level: open_access
  checksum: f47f3215ab8bb919e3546b3438c34c21
  content_type: application/pdf
  creator: dernst
  date_created: 2023-01-24T07:35:21Z
  date_updated: 2023-01-24T07:35:21Z
  file_id: '12351'
  file_name: 2022_ACM_SIGGRAPH_Chen.pdf
  file_size: 28826826
  relation: main_file
  success: 1
file_date_updated: 2023-01-24T07:35:21Z
has_accepted_license: '1'
intvolume: '      2022'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
  grant_number: M03319
  name: Perception-Aware Appearance Fabrication
publication: SIGGRAPH Asia 2022 Conference Papers
publication_identifier:
  isbn:
  - '9781450394703'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Gloss management for consistent reproduction of real and virtual objects
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2022
year: '2022'
...