Center for Research in Comptuer Vision
Center for Research in Comptuer Vision


Patent Granted: Video Face Recognition


Tech Field

Computer Vision; 3D Computer Vision; Signal Processing; Entertainment; Software

Background

The ability to construct realistic 3D objects is an important aspect of rendering realistic scenes in computer vision research and applications. Thus, developing efficient algorithms for constructing 3D objects is an active area in computer vision research. Most 3D modeling algorithms use visual hull methods that estimate the silhouette or boundary of the object in 3D space and then intersect or fuse these views. While these algorithms are viable, they tend to be cumbersome since they involve the use of complex computations on 3D constructs and require challenging camera calibrations. They are therefore considered computationally expensive, requiring longer times and larger amounts of computing power during the rendering process. In addition, many of these estimation algorithms are sensitive to very small errors that may be introduced during calibration. In an attempt to reduce the possibility for error, other methods are used which bypass the estimation phase, such as photometric algorithms. However, since these methods still use 3D constructs, they too are computationally costly.

UCF scientists have developed a more computationally efficient algorithm that does not use 3D constructs. Instead, their algorithm constructs 3D objects from multiple views of 2D images in 3D space while still using the visual hull approach. By utilizing this technology a 3D rendering software or hardware provider could greatly reduce the computational requirements and sensitivity to error of their products, while eliminating the need for specially calibrated cameras.

Invention

A system and method for generating 3D objects from 2D images of the object taken from multiple viewpoints, which is purely image based and avoids the complex calculations and camera calibrations required by other 3D reconstruction methods.

Application

A system and method for generating 3D objects from 2D images of the object taken from multiple viewpoints, which is purely image based and avoids the complex calculations and camera calibrations required by other 3D reconstruction methods.

Advantages


Selected References

Saad M. Khan, Pingkun Yan, Mubarak Shah, "A Homographic Framework for the Fusion of Multi-view Silhouettes," ICCV, pp.1-8, 2007 IEEE 11th International Conference on Computer Vision, 2007.

Lead Inventor

M. Shah, Ph.D.

Contact

Attn: Andrea Adkins
University of Central Florida Office of Research and Commercialization
12201 Research Parkway, Suite 205 Orlando, Fl 32826-3246
Phone: (407) 823-0138
Fax: (407) 882-9010
aadkins@mail.ucf.edu

United States Patent

"Systems and Methods for Modeling Three-Dimensional Objects from Two-Dimensional Images"
Shah et al.
Patent No.: US 8,363,926
Issued: Jan. 29, 2013