A variational method for scene flow estimation from stereo sequences
F Huguet, F Devernay - 2007 IEEE 11th International …, 2007 - ieeexplore.ieee.org
This paper presents a method for scene flow estimation from a calibrated stereo image
sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-
D optical flow can be seen as a projection of the scene flow onto the images. We propose to
recover the scene flow by coupling the optical flow estimation in both cameras with dense
stereo matching between the images, thus reducing the number of unknowns per image
point. The use of a variational framework allows us to properly handle discontinuities in the …
sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-
D optical flow can be seen as a projection of the scene flow onto the images. We propose to
recover the scene flow by coupling the optical flow estimation in both cameras with dense
stereo matching between the images, thus reducing the number of unknowns per image
point. The use of a variational framework allows us to properly handle discontinuities in the …
[PDF][PDF] A Variational Method for Scene Flow Estimation from Stereo Sequences
FHF Devernay - 2007 - academia.edu
This report presents a method for scene flow estimation from a calibrated stereo image
sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-
D optical flow can be seen as a projection of the scene flow onto the images. We propose to
recover the scene flow by coupling the optical flow estimation in both cameras with dense
stereo matching between the images, thus reducing the number of unknowns per image
point. The use of a variational framework allows us to properly handle discontinuities in the …
sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-
D optical flow can be seen as a projection of the scene flow onto the images. We propose to
recover the scene flow by coupling the optical flow estimation in both cameras with dense
stereo matching between the images, thus reducing the number of unknowns per image
point. The use of a variational framework allows us to properly handle discontinuities in the …
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