VRML 3D Object Retrieval

Because of the interest of 3D images and the popularity of World Wide Web,
the number of 3D scene/object and model database throughout the world is
growing both in number and in size. VRML (Virtual Reality Modeling Language)
is used to model the 3D object of the web page, and become as a standard
for 3D information.

Most content-based retrieval (CBR) techniques such as shape and color
comparison among objects are for image and video. The mechanisms are
designed based on 2-D information. In this paper, we propose a new
similarity method, based on 3D information extracted from a VRML object
database. The system includes multiple subsystems, which will be conducted
in two main parts. First part includes: the VRML objects parser system and
the normalization system. The second part: includes the comparison system,
database management system and a friendly graphical user interface.
 
The method is the first step of our project,which aims to incorporate
feature extraction of virtual reality objects, such as chairs, car, and
others in 3D space House interior designers can use the proposed system.
The user can select proper scenes and furniturein order to meet the
requirement of potential customers.

VRML 3D Motion Retrieval

Martial art actions can be represented via VRML animations or extracted by video tracking. We propose an action retrieval method, which allows users to retrieve similar actions of martial arts. The mechanism is based on a similarity function that compares animation tracks. A representation of human skeleton includes head, knee, elbow, wrist, etc further aggregates important features in martial art actions. Different weights are dynamically calculated according to motion sensitivity of feature points. As a result, the system can automatically retrieve similar martial art actions. The results are tested by professional kung fu master with a good satisfaction.