Forward image mapping

Authors:
Baoquan Chen;Frank Dachille;Arie Kaufman
Affiliations:
Center for Visual Computing (CVC) and Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY;Center for Visual Computing (CVC) and Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY;Center for Visual Computing (CVC) and Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY
Venue:
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Year:
1999

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Abstract

We present a new forward image mapping algorithm, which speeds up perspective warping — as in texture mapping. It processes the source image in a special scanline order instead of the normal raster scanline order. This special scanline has the property of preserving parallelism when projecting to the target image. The algorithm reduces the complexity of perspective-correct image warping by eliminating the division per pixel and replacing it with a division per scanline. The method also corrects the perspective distortion in Gouraud shading with negligible overhead. Furthermore, the special scanline order is suitable for antialiasing using a more accurate antialiasing conic filter, with minimum additional cost. The algorithm is highlighted by incremental calculations and optimized memory bandwidth by reading each source pixel only once, suggesting a potential hardware implementation.