Paper
5 March 2007 A novel triangulation method for building parallel-perspective stereo mosaics
Prudhvi Gurram, Eli Saber, Harvey Rhody
Author Affiliations +
Proceedings Volume 6490, Stereoscopic Displays and Virtual Reality Systems XIV; 64900B (2007) https://doi.org/10.1117/12.703172
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
In this paper, we propose an improved triangulation method for building parallel-perspective stereo mosaics using ray interpolation. The currently available fast PRISM (Parallel Ray Interpolation for Stereo Mosaicing) uses a constant triangulation technique that does not take advantage of the spatial information. This works well when the inter-frame displacement in the video is small. However, for large inter-frame displacements, hence large motion parallax, we observe visual artifacts in the mosaics when the source triangles in the video frames are warped into destination triangles in the mosaics using affine transformations. Our method uses the edge information present in the scene to ensure that triangles do not cross over from one planar facet to the other. The video frames are segmented and the edges are obtained from the boundaries of different segments. The motion over the entire region in each triangle is constant. Hence, this method avoids unwanted warping of objects with large motion parallax in the scene and reduces the visual artifacts. The performance of our proposed technique is demonstrated on a series of simple to complex video imagery collected by utilizing cameras and airborne sensors.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Prudhvi Gurram, Eli Saber, and Harvey Rhody "A novel triangulation method for building parallel-perspective stereo mosaics", Proc. SPIE 6490, Stereoscopic Displays and Virtual Reality Systems XIV, 64900B (5 March 2007); https://doi.org/10.1117/12.703172
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Prisms

Sensors

Video

Cameras

Image segmentation

Visualization

3D image processing

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