1st International Workshop and Challenge on Shape Recovery from Partial Textured 3D Scans (SHARP 2020) Call for Papers

Call for Participation:

1st International Workshop and Challenge on Shape Recovery from
Partial Textured 3D Scans (SHARP 2020) will be held in conjunction
with the 16th European Conference on Computer Vision (ECCV) on the
afternoon of August 23, 2020, in Glasgow, Scotland. An online
participation in the SHARP challenge is now possible.


    Registration deadline extended to 6 April 2020

    Call for online participation added

Website: https://cvi2.uni.lu/sharp2020/

Challenges: Two challenges on the task of reconstructing a full 3D
textured mesh from a partial 3D scan. The first challenge is for human
bodies, and the second challenge is for a variety of generic
objects. These challenges launch two new unique datasets.

Prize: An overall 6k will be awarded as cash prizes to the winners.

Sponsor: Artec3D


Capturing complete 3D scans is challenging because of multiple factors
including varying levels of details (e.g. finer anatomical parts and
clothing wrinkles in human scans), occlusion, non-rigidity, movement,
and optical properties (e.g., fabric, material, hair, reflection,
texture patterns, etc.). Photogrammetric capture systems can acquire
3D scan sequences at high frame rates but miss details, suffer from
occlusion because of the fixed setup and are bulky. Hand-held scanners
can adapt to the target, resolving finer details, handle more complex
geometries and occlusion, but require longer acquisition time. In
practice, these trade-offs result in partial data in the form of scans
filled with inaccuracies, uncertainties and/or missing parts.

The goal of the SHARP workshop and challenge is to promote the
development of methods to recover a complete 3D scan from its partial
acquisition. The acquisition time of hand-held scanners could be
decreased if we could acquire partial information of an object and
complete the missing areas as a post-processing step. The quality of
photogrammetric scans could be enhanced by completing the missing
parts and correcting the areas of lower reliability. Advances in such
methods would also impact applications more generally at both the
industrial and the consumer levels. It would allow, for example,
capturing more complex objects (e.g., complex clothing) and achieving
higher-quality acquisitions on lower-end devices. Practical
applications impacted by the proposed challenges include virtual
reality, medical treatment, fitness monitoring and fashion. These
challenges provide test-beds for developing novel methods for 3D scan

Important Dates: 
20 Feb. 2020 Webpage online
20 Feb 2020 Opening of registration of participants
21 Mar 2020 Announcement of online participation
6 Apr. 2020 Deadline for registration of participants (Extended)
8 Apr. 2020 Deadline to return the signed Data License Agreement
10 Apr. 2020 Release of the training dataset
3 Jul. 2020 Deadline for submission of results
8 Jul. 2020 Deadline for submission of accompanying paper
14 Jul. 2020 Notification of acceptance of accompanying paper
16 Jul. 2020 Camera-ready submission of accepted papers

Contact: shapify3D@uni.lu