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On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-6096-3648
2015 (English)In: COMPUTER VISION - ACCV 2014 WORKSHOPS, PT II / [ed] C.V. Jawahar and Shiguang Shan, Springer, 2015, Vol. 9009, 15 p.16-30 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2015. Vol. 9009, 15 p.16-30 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 9009
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-111582DOI: 10.1007/978-3-319-16631-5_2ISI: 000362451400002ISBN: 9783319166308 (print)ISBN: 9783319166315 (electronic)OAI: oai:DiVA.org:liu-111582DiVA: diva2:758278
Conference
Workshop on Emerging Topics in Image Restoration and Enhancement (IREw 2014) in conjunction with Asian Conference on Computer Vision (ACCV 2014)
Projects
VIDI
Available from: 2014-10-26 Created: 2014-10-26 Last updated: 2017-04-11Bibliographically approved

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Åström, FreddieFelsberg, Michael

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CiteExportLink to record
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Citation style
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Language
  • de-DE
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