| M. Lhuillier and L. Quan. Match propagation for image-based modeling and rendering. IEEE Trans. on PAMI, 2002. |
....on a fixed set of filters. This gives us a limited degree of rotation and scale invariance. We believe that the matching stage of our algorithm can benefit from the work on affine invariant feature point description [10] and feature matching algorithms based on spatial propagation of good matches [9]. The third assumption of a planar motion model is not a serious limitation, and preliminary experiments show that 6 Figure 8: VW sequence. 1) Original image pair of size I # . extensions to non planar motion are straightforward. Finally, in some of the examples we can see that while the ....
M. Lhuillier and L. Quan. Match propagation for image-based modeling and rendering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(8):1140--1146, 2002.
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M. Lhuillier and L. Quan. Match propagation for image-based modeling and rendering. IEEE Trans. on PAMI, 2002.
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