View synthesis using parallax invariance

Fadi Dornaika

doi:10.1117/12.430840

22 June 2001 View synthesis using parallax invariance

Fadi Dornaika

Proceedings Volume 4297, Stereoscopic Displays and Virtual Reality Systems VIII; (2001) https://doi.org/10.1117/12.430840
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

View synthesis becomes a focus of attention of both the computer vision and computer graphics communities. It consists of creating novel images of a scene as it would appear from novel viewpoints. View synthesis can be used in a wide variety of applications such as video compression, graphics generation, virtual reality and entertainment. This paper addresses the following problem. Given a dense disparity map between two reference images, we would like to synthesize a novel view of the same scene associated with a novel viewpoint. Most of the existing work is relying on building a set of 3D meshes which are then projected onto the new image (the rendering process is performed using texture mapping). The advantages of our view synthesis approach are as follows. First, the novel view is specified by a rotation and a translation which are the most natural way to express the virtual location of the camera. Second, the approach is able to synthesize highly realistic images whose viewing position is significantly far away from the reference viewpoints. Third, the approach is able to handle the visibility problem during the synthesis process. Our developed framework has two main steps. The first step (analysis step) consists of computing the homography at infinity, the epipoles, and thus the parallax field associated with the reference images. The second step (synthesis step) consists of warping the reference image into a new one, which is based on the invariance of the computed parallax field. The analysis step is working directly on the reference views, and only need to be performed once. Examples of synthesizing novel views using either feature correspondences or dense disparity map have demonstrated the feasibility of the proposed approach.

Citation Download Citation

Fadi Dornaika "View synthesis using parallax invariance", Proc. SPIE 4297, Stereoscopic Displays and Virtual Reality Systems VIII, (22 June 2001); https://doi.org/10.1117/12.430840

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KEYWORDS

Cameras

3D image processing

Computer vision technology

Machine vision

Virtual reality

Visibility

3D modeling

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