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Image-based Modeling and Rendering
This project is no longer active.
Head: Steven Seitz
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Associated center(s) / consortia:
 Vision and Autonomous Systems Center (VASC)
Associated lab(s) / group(s):
 Calibrated Imaging Lab
A central problem in computer graphics is producing images that appear photographic, thereby fooling people into believing they are viewing a real scene. While rendering techniques have advanced dramatically in recent years, we are still far from this goal of photorealism, largely because of the difficulty of constructing realistic 3D models. We propose to solve this problem by "importing" real-world objects and scenes from photographs and paintings. Towards this end, we are developing two classes of techniques, based on image morphing and 3D reconstruction, respectively. The first approach rearranges pixels in a set of input images in order to produce images of the scene from different camera viewpoints. This view morphing approach enables effects such as rotating a person's head in 3D from one photograph. We are also investigating voxel-based 3D reconstruction techniques to solve larger-scale visualization problems, such as producing building walkthroughs and flybys of complex landscapes by processing images from video camcorders.