KEYWORDS: 3D modeling, Cameras, Volume rendering, 3D image processing, 3D displays, Video, Visibility, Visualization, RGB color model, Image processing
In this paper, we present a high-resolution dynamic 3D object generating method from multi-viewpoint images. This dynamic 3D object can display fine images of the moving human body form arbitrary viewpoints, and consists of subject's 3D model generated for each video frame. To create a high-resolution dynamic 3D object, we propose a 3D-model-generation method from multi-viewpoint images. The method uses stereo matching to refine an approximate 3D model obtained by the volume intersection method. Furthermore, to reproduce high-resolution textures, we have developed a new technique which obtains the visibility of vertices and polygons of 3D models. A modeling experiment performed with 19 fire-wire cameras confirmed that the proposed method effectively generates high-resolution dynamic 3D objects.
KEYWORDS: Cameras, Motion models, 3D modeling, Data modeling, Solid modeling, Calibration, Image acquisition, Data conversion, Algorithm development, 3D image processing
In this paper, we propose a system for generating arbitrary viewpoint images. The system is based on image measurement and consists of three steps: HDTV image recording, modeling from images and displaying arbitrary viewpoint images. The model data is converted to VRML models. In order to estimate 3D shapes, we developed a new modeling algorithm using the block matching method as well as the volume intersection method. The proposed algorithm achieves fast and precise modeling. It is confirmed that the derived human model with motion can be smoothly played in a VRML browser on a PC, and the viewing position of the observer can be changed by mouse control.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.