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We introduce an approach to learning convolution filters whose joint output can be fed to a classifier that labels them as belonging to linear structures or not. The filters are learned using sparse synthesis techniques but we show that enforcing constrain ...
We present a novel probabilistic approach to fully automated delineation of tree structures in noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local evidence, ours builds a set of candidate trees over many different subsets ...
There is an increasing trend towards panel displays in consumer electronics, and they are already replacing conventional Cathode Ray Tube (CRT) displays due to their various advantages. However, the main problem of the panel displays, namely motion blur, s ...
A new region-based depth ordering algorithm is proposed based on the segmented motion layers with affine motion models. Starting from an initial set of layers that are independently extracted for each frame of an input sequence, relative depth order of eve ...
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A new region-based frame interpolation algorithm is proposed based on the segmented motion layers with planar perspective motion models. It is shown that performing the motion model interpolation in the homography parameter space is equivalent to interpola ...
In this thesis, layered motion segmentation problem and its applications to 2.5D scene representation and frame interpolation are investigated. As an initial step towards a layered design, building blocks of a generic motion segmentation algorithm; motion ...
