The programme

In accordance with CVPR 2021, the 2nd SHApe Recovery from Partial Textured 3D Scans (SHARP) Workshop will be a virtual event. Access is provided through the online platform of CVPR to all its Delegates.

To be announced…

Invited Speakers

Adrien.lowres
Prof. Adrien Bartoli
Plenary Talk 1: Reconstructing deformable 3D surfaces from monocular video using geometry

Summary: It was established that 3D reconstruction from multiple images is solvable by Structure-from-Motion, where a moving camera films a rigid object. Structure-from-Motion has become a 3D reconstruction technology: one may for instance film a static object using a smartphone and convert the footage to a dense 3D point cloud automatically on a regular computer. The process may also compute the camera’s time-varying position, orientation and internal parameters, such as the focal length. However, how about deforming scenes and objects? Can one film a handheld, deforming piece of cloth and later recover 3D from the footage? The question is not about using several synchronised cameras to observe a deforming object, which would boil down to the rigid case of Structure-from-Motion. It is about using images from a single camera and recovering dynamic, time-varying 3D structure from these images. The constraints involved in deformable 3D reconstruction are not only weaker than in rigid 3D reconstruction: they also make it a tremendously more involved problem. Research has nonetheless recently led to some important theoretical and practical results for the case of near-isometric structures. In short, deformable near-isometric structures can be uniquely 3D reconstructed from images in many practical cases. In this presentation, the methods of Shape-from-Template and Non-Rigid Structure-from-Motion will be discussed. Then, it will be shown how these methods facilitate augmented reality in laparoscopic surgery, providing the surgeon with live visual guidance in the operating theatre.

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Prof. Gerard Pons-Moll
Plenary Talk 2: To be announced

Biography: Prof. Bartoli is a world expert in 3D data modelling and reconstruction. He is recognised and acknowledged by the computer vision community, serving regularly as Area Chair at the major venues. Indeed, Prof. Bartoli has a profound knowledge about non-rigid 3D data reconstruction. His perspective on the next steps in 3D data processing will surely open interesting discussions at SHARP 2021.

Biography: Prof. Pons-Moll is one of the leading researchers in 3D human body modelling. He has contributed to the most recent and successful models. He is also, along with his student, winner of the SHARP challenge in 2020. Prof. Pons-Moll is therefore familiar with the type of datasets presented at SHARP. His perspective and experience will undoubtedly make the audience of SHARP dive right into the real challenges.

Programme Committee

To be announced…

TEST

A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.

TEST

A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.

TEST

A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.

TEST

A dataset containing 400 real, high-resolution human scans of 200 subjects (100 males and 100 females in two poses each) with high-quality texture and their corresponding low-resolution meshes, with automatically computed ground-truth correspondences. See the following table.