On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising

Freddie Astrom, Michael Felsberg
Computer Vision Laboratory, Linkoping University, Sweden
Workshop on Emerging Topics in Image Restoration and Enhancement (IREw 2014) in conjunction with Asian Conference on Computer Vision (ACCV 2014), 2014


   title={On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising},

   author={AA}str{"o}m, Freddie and Felsberg, Michael},



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Many image processing methods such as corner detection,optical flow and iterative enhancement make use of image tensors. Generally, these tensors are estimated using the structure tensor. In this work we show that the gradient energy tensor can be used as an alternativeto the structure tensor in several cases. We apply the gradient energy tensor to common image problem applications such as corner detection, optical flow and image enhancement. Our experimental results suggest that the gradient energy tensor enables real-time tensor-based image enhancement using the graphical processing unit (GPU) and we obtain 40% increase of frame rate without loss of image quality.
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