Tuesday 25, April – 17:00-18:30

Room: Auditorium Lumière


High Quality and Efficient Direct Rendering of Massive Real-world Point Clouds

Authors: Hassan Bouchiba, Raphaël Groscot, Jean-Emmanuel Deschaud, and François Goulette
We present a novel real-time screen-space rendering algorithm for real-world 3D scanned datasets. Our method takes advantage of the pull phase of a pull-push pyramidal filling algorithm in order to feed a hidden point removal operator. The push phase is then used to fill the final framebuffer. We demonstrate on a real-world complex dataset that our method produces better visual results and is more efficient comparing to state of the art algorithms.

Coupled Simulation of Deformable Bodies and ISPH Fluids for Secondary Bone Healing

Authors: Nadine Abu Rumman, Patric Müller, Prapanch Nair, and Thorsten Pöschel
We propose a new scheme for the two-way coupling of incompressible fluids and deformable bodies, where we focus on a medical application; in particular, secondary bone healing. Our method allows for accurate simulation and visualisation of the secondary bone healing process, which is used to optimise clinical treatment of bone fractures. In our simulation, the soft tissues are simulated as elastic materials using Strain Based Dynamics (SBD), and fluid is simulated using Incompressible Smoothed Particle Hydrodynamics (ISPH). The interaction model we propose works with any type of deformation technique as long as the object surface is represented by a polygonal mesh and the fluid by Lagrangian particles.

Swung-to-Cylinder Projection for Panoramic Image Viewing

Authors: Che-Han Chang, Wei-Sheng Lai, and Yung-Yu Chuang
This paper proposes the swung-to-cylinder projection model for mapping a sphere to a plane, which is useful for viewing 360◦ panoramic images. Our model extends the swung-to-plane model and consists of two steps. In the first step, the sphere is projected onto a swung surface. In the second step, the projected image on the swung surface is mapped onto a cylinder through the perspective projection. The proposed model is simple, efficient and easy to control. Similar to the swung-to-plane model, it makes a better compromise between distortion minimization and line preserving. However, it does not suffer from the distortion problem of the swung-to-plane model when viewing full 360◦ panoramic images.

Differencing and Merging for 3D Animation Revision Control

Authors: George Madges, Idris Miles, and Eike Falk Anderson
Version Control System (VCS) techniques for managing the creation of 3D computer generated models exist for static 3D models, however, there are no solutions for revision control of the animation data from animated 3D models. A precondition for any type of VCS is the ability to compare two versions of an item, to identify the differences between them and to combine these. To this end, we propose a novel 3-way difference, merging and conflict resolution technique for 3D animation data.

Proxy Clouds for RGB-D Stream Processing: A Preview

Authors: Adrien Kaiser, José Alonso Ybanez Zepeda, and Tamy Boubekeur
Modern consumer depth cameras are widely used for 3D capture in indoor environments, for applications such as modeling, robotics or gaming. Nevertheless, their use is limited by their low resolution, with frames often corrupted with noise, missing data and temporal inconsistencies. In order to cope with all these issues, we present Proxy Clouds, a multiplanar superstructure for real-time processing of RGB-D data. By generating a single set of planar proxies from raw RGB-D data and updating it through time, several processing primitives can be applied to improve the quality of the RGB-D stream or lighten further operations. We illustrate the use of Proxy Clouds on several applications, including noise and temporal flickering removal, hole filling, resampling, color processing and compression. We present experiments performed with our framework in indoor scenes of different natures captured with a consumer depth sensor.

Mesh Simplification With Curvature Error Metric

Authors: Céline Michaud, Nicolas Mellado, and Mathias Paulin
Progressive meshes algorithms aim at computing levels of detail from a highly detailed mesh. Many of these algorithms are based on a mesh decimation technique, generating coarse triangulation while optimizing for a particular metric which mini- mizes the distance to the original shape. However these metrics do not robustly handle high curvature regions, sharp features, boundaries or noise. We propose a novel error metric, based on algebraic spheres as a measure of the curvature of the mesh, to preserve curvature along the simplification process. This metric is compact, does not require extra input from the user, and is as simple to implement as a conventional quadric error metric.

Towards Developable Products from a Sketch

Authors: Amélie Fondevilla, Adrien Bousseau, Damien Rohmer, Stefanie Hahmann, and Marie-Paule Cani
Developable surfaces are surfaces that can be unfolded onto a plane, without distortion, and are widely used in industry. We propose an end-to-end system for the interactive modeling of developable objects from a single annotated photo, restricted to the case of symmetrical objects made by assemblies of planes and generalized cylinders. Our method is in two parts : we first analyze the 2D annotated photo to extract the location of symmetric points and the rulings of the cylindrical regions. Then we use this 2D information in a global system to lift the shape of the object in 3D.

Posters Co-Chairs 

Pierre Bénard, University of Bordeaux, France

Daniel Sýkora, Czech Technical University in Prague, Czech Republic