The Image Group – University of Copenhagen

The Image Group
Lars Lau Rakêt's Homepage

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Lars Lau Rakêt

PhD fellow
University of Copenhagen
Universitetsparken 5
2100 København Ø
Office: HCØ - Building E, Office 4.0.4
Phone: (+45) 353 20739

Research interests

I work with analysis and processing of functional data, in particular image and video data. Much of this work has revolved around optical flow estimation, and frame interpolation in video, but my current focus is mainly on developing highly efficient methods for statistical analysis of functional data.
I am involved in the development of codecs for distributed video coding (DVC), where my algorithms for motion estimation, motion compensated interpolation, and frame reconstruction are used in the decoding process.


Journal papers

  • Huynh Van Luong, Lars Lau Rakêt, and Søren Forchhammer: Reestimation of Motion and Reconstruction for Distributed Video Coding. In revision.

  • Lars Lau Rakêt and Bo Markussen: Approximate inference for spatial functional data on massively parallel processors. Computational Statistics & Data Analysis 72, 2014
    Publishers website · PDF

  • Lars Lau Rakêt, Stefan Sommer and Bo Markussen: A nonlinear mixed-effects model for simultaneous smoothing and registration of functional data. Pattern Recognition Letters 38, 2014
    Publishers website · PDF

  • Huynh Van Luong, Lars Lau Rakêt, Xin Huang, and Søren Forchhammer: Side Information and Noise Learning for Distributed Video Coding using Optical Flow and Clustering. IEEE Transactions on Image Processing 21(12), 2012
    Publishers website

Conference papers

  • Matteo Salmistraro, Lars Lau Rakêt, Marco Zamarin, Anna Ukhanova, and Søren Forchhammer: Texture Side Information Generation for Distributed Coding of Video-plus-Depth. In International Conference on Image Processing (ICIP), 2013.

  • Matteo Salmistraro, Marco Zamarin, Lars Lau Rakêt, and Søren Forchhammer: Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013.
    Publishers website · PDF

  • Lars Lau Rakêt and Mads Nielsen: A splitting algorithm for directional regularization and sparsification. In International Conference on Pattern Recognition (ICPR), 2012.
    Publishers website · PDF

  • Lars Lau Rakêt, Lars Roholm, Andrés Bruhn, and Joachim Weickert: Motion compensated frame interpolation with a symmetric optical flow constraint. In Advances in Visual Computing, Springer Lecture Notes in Computer Science 7431, 2012.
    Publishers website · PDF · C++ code.

  • Lars Lau Rakêt, Jacob Søgaard, Matteo Salmistraro, Huynh Van Luong, and Søren Forchhammer: Exploiting the error-correcting capabilities of low-density parity check codes in distributed video coding using optical flow. In SPIE Optics+Photonics, Optical Engineering + Applications, 2012.
    Publishers website · PDF

  • Lars Lau Rakêt: Local smoothness for global optical flow. In International Conference on Image Processing (ICIP), 2012.
    Publishers website · PDF · Middlebury results (Local-TV-L1)

  • Xin Huang, Lars Lau Rakêt, Huynh Van Luong, Mads Nielsen, François Lauze, and Søren Forchhammer: Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow. In Multimedia Signal Processing (MMSP), 2011.
    Top 10% Award
    Publishers website · PDF

  • Lars Lau Rakêt, Lars Roholm, Mads Nielsen, and François Lauze: TV-L1 optical flow for vector valued images. In Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer Lecture Notes in Computer Science 6819, 2011.
    Publishers website · PDF


  • Lars Lau Rakêt : Duality based optical flow algorithms with applications.
    Prize thesis in Computer Science, University of Copenhagen, 2013.
    Awarded the University of Copenhagen Silver Medal

  • Lars Lau Rakêt : 2D functional data analysis with applications to image analysis.
    MSc thesis in Statistics, University of Copenhagen, 2010.


  • Lars Lau Rakêt and Søren Forchhammer: Optical flow driven frame interpolation. At 3rd Annual Workshop on Photonic Technologies and Applications, UC Berkeley, 2012.
    Web · PDF