Tag: 3D Modelling

Semantic Modeling of Indoor Scenes with Support Inference from a Single Photograph

We present an automatic approach for semantic modeling of indoor scenes based on a single photograph, instead of relying on RGB-D cam- eras. Without using hand-crafted features, we guide indoor scene modeling with feature maps extracted by Fully Convolutional Networks (FCNs). Three parallel FCNs are adopted to generate object instance […]

Advanced ordinary differential equation based head modelling for Chinese marionette art preservation

Puppetry has been a popular art form for many centuries in different cultures, which becomes a valuable and fascinating heritage assert. Traditional Chinese marionette art with over 2000 years history is one of the most representative forms offering a mixture of stage performance of singing, dancing, music, poetry, opera, story narrative […]

Efficient semi-supervised multiple feature fusion with out-of-sample extension for 3D model retrieval

Multiple visual features have been proposed and used in 3-dimensional (3D) model retrieval in recent years. Since each visual feature reflects a unique characteristic about the model, they have unequal discriminative power with respect to a specific category of 3D model, and they are complementary to each other in model […]

Fast surface modelling using a 6th Order PDE

In this paper, we present a new method to improve the efficiency of physics-based surface modeling which creates and manipulates surfaces through physics-based curve deformations. The proposed physics-based mathematical model of curve deformations consists of a vector-valued fourth order ordinary differential equation and boundary constraints. An efficient finite difference solution […]