Density Aware Shape Modeling to Control Mass Properties of 3D Printed Objects

We present a density aware shape modelling method to control the mass properties such as center of mass and total mass of 3D printed objects.

Daiki Yamanaka, The University of Tokyo

Hiromasa Suzuki, The University of Tokyo

Yutaka Ohtake, The University of Tokyo

Panoramic e-Learning Videos for non-Linear Navigation

We introduce a new interface for augmenting e-learning videos with panoramic frames and content-based navigation. Our interface gradually builds a panoramic video, and allows users to navigate through such video by directly clicking on its contents, as opposed to using a conventional time slider.

Rosalia Schneider, Federal University of Rio Grande do Sul

Manuel Menezes de Oliveira Neto, Federal University of Rio Grande do Sul

Unified Skinning of Rigid and Deformable Models for Anatomical Simulations

We propose a novel geometric skinning approach that unifies geometric blending for multibody models with embedded surfaces for finite-element models. Using our skinning framework we create first-of-its-kind swallowing and speech acoustics simulations that are generated by muscle-driven biomechanical models of the upper airway.

Ian Stavness, University of Saskatchewan

Antonio Sanchez, University of British Columbia

John Lloyd, University of British Columbia

Andrew Ho, University of British Columbia

Johnty Wang, McGill University

Sidney Fels, University of British Columbia

Danny Huang, University of Saskatchewan

Local and Nonlocal Guidance Coupled Surface Deformation

This paper presents a novel 3D shape surface deformation method with local and nonlocal guidance. Our approach uses the locally linear embedding to construct the nonlocal relationship, and uses a well known local neighborhood coherence to represent the local relationship. Experimental results demonstrate the effectiveness of our method.

Yufeng Tang, Beihang University

Dongqing Zou, Beihang University

Jianwei Li, Beihang University

Xiaowu Chen, Beihang University

The Subdivision Wavelet Transform with Local Shape Control

In this paper, we present a method to construct the efficient wavelet transform based on the matrix-valued Loop subdivision. The new wavelet transforms inherits the advantages of the matrix-valued subdivision and offers the good shape preserving ability.

Chong Zhao, Computer Science Department, Xiamen University

Hanqiu Sun, The Chinese University Of Hong Kong

Topology-aware Reconstruction of Thin Tubular Structures

We propose a reconstruction method that combines image processing techniques with physics simulation for high fidelity reconstruction of thin, tubular objects.

Tobias Martin, Eidgenössische Technische Hochschule Zürich

Juan Montes, Concordia University

Jean-Charles Bazin, Eidgenössische Technische Hochschule Zürich

Tiberiu Popa, Concordia University