Tuesday, July 26, 2005
icpr,International Conference on Pattern Recognition (ICPR'00)-Volume 1
Possibly useful: This paper presents a novel motion estimation algorithm, which gives excellent results on both counts. The algorithm starts by computing 3D orientation tensors from the image sequence. These are combined under the constraints of a parametric motion model to produce velocity estimates. Evaluated on the well-known Yosemite sequence, the algorithm shows an accuracy, which is substantially better than for previously, published methods. Computationally the algorithm is simple and can be implemented by means of sep-arable convolutions, which makes it fast.
# posted by Seabhcan @ 2:24 PM 
