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research:optical_flow_estimation [2012/01/20 11:58] 127.0.0.1 external edit |
research:optical_flow_estimation [2015/09/24 21:16] hazirbas |
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====== Optical Flow Estimation ====== | ====== Optical Flow Estimation ====== | ||
- | Contact: [[members: | + | |
+ | Estimating the motion of every pixel in a sequence of images is a problem with many applications in computer vision, such as image segmentation, | ||
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+ | In general, optical flow describes a sparse or dense vector field, where a displacement vector is assigned to certain pixel position, that points to where that pixel can be found in another image. | ||
+ | In the context of scene flow estimation, which is performed on images with additional depth values, every pixel is assigned a depth displacement as well. | ||
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+ | Since much of the structural information of a 3D scene gets lost in the imaging process, so does the motion information. The estimation of the " | ||
+ | Our group mainly focuses on optical flow estimation by means of variational methods, that allow a clear formulation of the assumptions incorporated into the estimation process and generally produce dense vector fields. | ||
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+ | Contact: | ||
====== Related publications ====== | ====== Related publications ====== |