Publications

Journal papers

  1. Feigin M., Whyte R., Bhandari A., Dorington A., and Raskar R., “Modeling “wiggling” as a multi-path interference problem in AMCW ToF imaging”, in Optics Express 23 (15), 19213-19225, 2015
  2. Feigin M., Bhandari A., Izadi S., Rhemann C., Schmidt M., Raskar, R., “Resolving Multipath Interference in Kinect: An Inverse Problem Approach”, in IEEE Sensors Journal, PP (99), 2015
  3. Raviv D., Barsi C., Naik N., Feigin M., Raskar R., “Pose estimation using time-resolved inversion of diffuse light”, in Optics Express 22 (17), 20164-20176, 2014
    *** has been selected by the Editors, Andrew Dunn and Anthony Durkin, for publication in the Virtual Journal for Biomedical Optics (VJBO)
  4. Trattner S., Kashdan E., Feigin M. and Sochen N., “Image formation of thick three-dimensional objects in Differential-Interference-Contrast (DIC) microscope”, in Journal of the Optical Society of America A, 31(5): 968-980, 2014
  5. Bhandari A., Kadambi A., Whyte R., Barsi C., Feigin M., Dorrington A., Raskar R., “Resolving Multipath Interference in Time-of-Flight Imaging via Modulation Frequency Diversity and Sparse Regularization”, in Optics Letters, 39(6), 1705-1708, 2014
  6. Feldman D., Feigin M. and Sochen N., “Learning Big (Image) Data via Coresets for Dictionaries”, in Journal of Mathematical Imaging and Vision, March 2013
  7. Trattner S., Feigin M., Greenspan H. and Sochen N., “Reply to comments on ‘A validity criterion for the Born approximation convergence in (DIC) microscopy imaging’”, in Journal of the Optical Society of America A, 28(4), 665-666, 2011
    ** has been selected by the Editors, Andrew Dunn and Anthony Durkin, for publication in the Virtual Journal for Biomedical Optics (VJBO).
  8. Feigin M., Sochen N., and Vemuri B. C., “Anisotropic α-Kernels and Associated Flows”, in SIAM Journal of Imaging Science 3(4), pp. 904-925, November 2010
  9. Trattner S., Feigin M., Greenspan H. and Sochen N., “A validity criterion for the Born approximation convergence in (DIC) microscopy imaging”, in Journal of the Optical Society of America A, 26(5), 1147-1156, 2009
    * has been selected by the editor-in-chief, Gregory Faris, for publication in the Virtual Journal for Biomedical Optics (VJBO).

Conference papers

  1. Bryan Ranger, Micha Feigin, Nikita Pestrov, Xiang Zhang, Victor Lempitsky, Hugh Herr, Brian W. Anthony, “Motion Compensation in a Tomographic Ultrasound Imaging System: Toward Volumetric Scans of a Limb for Prosthetic Socket Design”, in EMBC 2015, Milano, Italy, 2015
  2. Bhandari A., Feigin M., Izadiy S., Rheman C., Schmidt M., Raskar R., “Resolving Multipath Interference in Kinect: An Inverse Problem Approach”, in Sensors 2014, Valencia, Spain 2014
  3. Mahurkar A., Joshi A., Nallapareddy N., Reddy P., Feigin M., Kadambi A., Raskar R., “Selective visualization of anomalies in fundus images via sparse and low rank decomposition”, ACM SIGGRAPH 2014 Posters, 109, 2014
  4. Bedri H., Feigin M., Everett M., harvat G. L., R Raskar R., “Seeing around corners with a mobile phone?: synthetic aperture audio imaging”, ACM SIGGRAPH 2014 Posters, 84
  5. Feigin M., Feldman D., Sochen N., “Learning Big (Image) Data via Coresets forDictionaries”, in Proceedings of the International BASP Frontiers Workshop, Villars-sur-Ollon, Switzerland, 2013
  6. Feigin M., Trattner S., Kashdan E. and Sochen N., “GPU accelerated electromagnetic scattering and diffraction in 3D microscopic image formation”, in GPU for Computer Vision Applications workshop, in conjunction with ICCV2011, Barcelona, Spain, 2011
  7. Feigin M., Feldman D. and Sochen N, “From High Definition Image to Low Space Optimization”, in Scale Space and Variational Methods (SSVM), Ein-Gedi, Israel, 2011
  8. Trattner S., Feigin M., Kashdan E. and Sochen N., “Simulating optical sectioned differential-interference-contrast”, in SPIE Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIX, San Francisco, California, USA, 2011.
  9. Feigin M. and Sochen N., “Anisotropic regularization for inverse problems with application to the wiener filter with Gaussian and impulse noise”, Scale Space and Variational Methods (SSVM), Voss, Norway, 2009.
  10. Feigin M., Sochen N., and Vemuri B. C., “Efficient anisotropic α-kernels decompositions and flows”, in Perceptual Organization in Computer Vision (POCV), Anchorage, Alaska, USA, 2008.
  11. Trattner S., Feigin M., Greenspan H. and Sochen N., “Are the unborn in the Born region? The validity of the Born Approximation in Microscopic Imaging”, in Israeli symposium on of computer-aided Surgery, Medical Robotics and Medical Imaging (ISRACAS), Tel Aviv, Israel, May 2008.
  12. Trattner, S., Feigin, M., Greenspan, M., Westin, C.F., and Sochen, N., “DIC microscopic imaging of living cell and error analysis of Born approximation”, in 3rd Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB), in conjunction with Miccai’08 NY, US, 2008.
  13. Trattner S., Feigin M., Greenspan H. and Sochen N., “A Numerical Analysis of the Born Approximation for Image Formation Modeling of Differential Interference Contrast Microscopy for Human Embryos”, in ISMBE annual meeting, Tel Aviv, Israel 2008
  14. Trattner S., Feigin M., Greenspan H. and Sochen N., “A Numerical Analysis of the Born Approximation for Image Formation Modeling of Differential Interference Contrast Microscopy for Human Embryos”, SPIE Medical Imaging, San Diego, California, USA, 2008.
  15. Feigin M., Sochen N., and Vemuri B. C., “Anisotropic α-kernels and associated flows”, Scale Space and Variational Methods (SSVM), pages 484-495, 2007.
  16. Trattner S., Feigin M., Greenspan H. and Sochen N., “Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging”, in IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), in conjunction with ICCV 2007, Rio de Janeiro, Brazil, October 2007
  17. Trattner S., Feigin M., Greenspan H. and Sochen N., “The Born approximation for round and cubical objects in DIC microscopy imaging”, in Microscopic Image Analysis with Applications in Biology 2nd Workshop, NJ, NY, USA, September 2007.
  18. Feigin M. and Sochen N., “Segmentation and denoising via an adaptive threshold Mumford-Shah-like functional”, In ICPR 04, volume 2, pages 98-101, 2004.