The 3rd SHApe Recovery from Partial Textured 3D Scans (SHARP) Workshop and Challenge

Sharp 2022

Organizers

An overall 8k€ will be awarded as cash prizes to the winners sponsored by Artec3D.

This workshop will host a competition focusing on the reconstruction of full high-resolution 3D meshes from partial or noisy 3D scans and includes 2 challenges and 3 datasets: 

  • The first challenge consists of the recovery of textured 3D scans from partial acquisition. It involves 2 tracks: 
    • Track 1: Recovering textured human body scans from partial acquisitions. The dataset used in this scope is the 3DBodyTex.v2 dataset, containing 2500 textured 3D scans. It is an extended version of the original 3DBodyTex.v1 dataset, first published in the 2018 International Conference on 3D Computer Vision, 3DV 2018.
    • Track 2: Recovering textured object scans from partial acquisitions. It involves the recovery of generic object scans from the 3DObjTex.v1 dataset, which is a subset from the ViewShape online repository of 3D scans. This dataset contains over 2000 various generic objects with different levels of complexity in texture and geometry.
  • The second challenge focuses on the recovery of fine object details in the form of sharp edges from noisy sparse scans with smooth edges. The CC3D-PSE dataset which is a new version of the CC3D dataset, introduced at the 2020 IEEE International Conference on Image Processing (ICIP), will be used for this purpose. It contains over 50k pairs of CAD models and their corresponding 3D scans. Each pair of scan and CAD model is annotated with parametric sharp edges. Given a 3D scan with smooth edges, the goal is to reconstruct the corresponding CAD model as a triangular mesh, with sharp edges approximating the ground-truth sharp edges. The second challenge involves 2 tracks: 
    • Track 1: Recovering linear sharp edges. A subset of the CC3D-PSE dataset is considered in this track which includes only linear sharp edges.
    • Track 2:  Recovering sharp edges as linear, circular, and spline segments. The whole CC3D-PSE will be used in this track.

This is the third edition of SHARP, after two successful editions in conjunction with CVPR 2021 and ECCV 2020.

Sponsor

Call for Participation
(Challenges)

Challenge
Textured Partial Scan Completion

The task of this challenge is to accurately reconstruct a full 3D textured mesh from a partial 3D scan. It involves 2 tracks:

Track 1: Body shapes
Track 2: Object Scans

Challenge
Sharp Edge Recovery

Given a 3D object scan with smooth edges, the goal of this challenge is to reconstruct the corresponding CAD model as a triangular mesh with sharp edges approximating the ground-truth sharp edges.

Track 1: Sharp lines
Track 2: Sharp edges (circles, splines, lines)

 

Timeline

Organizers

Textured Partial Scan Completion

Challenge 1

Track 1

Recovering textured human body scans from partial acquisitions. The dataset used in this scope is the 3DBodyTex.v2 dataset, containing 2500 textured 3D scans. It is an extended version of the original 3DBodyTex.v1 dataset, first published in the 2018 International Conference on 3D Computer Vision, 3DV 2018.  

Track 1

Track 2

Recovering textured object scans from partial acquisitions. It involves the recovery of generic object scans from the 3DObjTex.v1 dataset, which is a subset from the ViewShape online repository of 3D scans. This dataset contains over 2000 various generic objects with different levels of complexity in texture and geometry. 

Track 2
  • Any custom procedure should be reported with description and implementation among the deliverable.
  • A quality-check is performed to guarantee a reasonable level of defects.
  • The partial scans are generated synthetically.
  • For privacy reasons, all meshes are anonymized by blurring the shape and texture of the faces, similarly to the 3DBodyTex data.
  • During evaluation, the face and hands are ignored because the shape from raw scans is less reliable.

New: In addition to the routines for partial data generation provided in the previous editions (SHARP 2020 and SHARP 2021), more realistic partial data generation routines have been put in place for this edition. Samples of partial scans from Track 1 and Track 2 can be found above.

Sharp Edge Recovery

Challenge 2

New: This challenge introduces the CC3D-PSE dataset which is a new version of the CC3D dataset used in SHARP 2021. CC3D-PSE consists of:

  • 50k+ pairs of scans and CAD models as triangular meshes
  • Sharp edge annotations provided as parametric curves including linear, circular, and spline segments

Track 1

Recovering linear sharp edges. A subset of the CC3D-PSE dataset is considered in this track which includes only linear sharp edges. 

Track 1

Track 2

Recovering sharp edges as linear, circular, and spline segments. The whole CC3D-PSE will be used in this track. 

Track 2

Leaderboard

The competition is also hosted on Codalab. A development phase with evaluation samples and metrics is running. Participants might follow their ranking during this phase with respect to other participants by submitting their predictions on the evaluation samples mentioned in Codalab. More details can be found in the following links:

The program

Coming soon...