Concept of Skeleton Texture Mapping

We use a suitable robust, noise-resistant skeletonization algorithm to extract the full 3D skeleton of the given surface, and subsequently compute a surface classifier that

However, these ap- proaches have two main drawbacks: the contact detection and response are not based on a skin mesh of the hand but on articulated rigid bodies placed on the

Figure 10.1: Overview of our processing pipeline: (a) multi-view video sequence of a reference performance; (b) performance capture result: skeleton motion + deforming surface;

Textures can be aligned by skeleton axis, skeleton can store important surface parameters and apply them during seamless mapping.. Furthermore, STM can be used for seamless

The approach combines projection mapping with a render-to-texture technique in order to bake additional layers of texture or detail into a given texture.. The benefit of our approach

For every union-skeleton node, we measure the change in rotation between original skeleton pose and the matched superskeleton.. Nodes where rotation changes are higher than

detection of joints in combination with an automatic extraction of skinning weights, our approach can be used for automatic cloning of articulated toys. • extension

Apart from curve skeletons, 3D shapes admit also surface skele- tons, which fully capture their geometry and topology regardless of the shape type and are effectively