Michael Langer

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Also see publications listed by year

3D Clutter

Human Vision

• Density discrimination with occlusions in 3D clutter M. Scaccia, M.S. Langer Journal of Vision Oct. 2019, 19 (10) (PDF)
• Signs of depth-luminance covariance in 3D cluttered scenes M. Scaccia, M.S. Langer Journal of Vision March 2018, 18 (5) (PDF)
• Depth discrimination from occlusions in 3D clutter M.S. Langer, H. Zheng, S. Rezvankhah Journal of Vision 16: 11, Sept. (2016) (PDF)

Computer Vision

• Performance of Stereo Methods in Cluttered Scenes, F. Mannan, M. S. Langer, Eighth Canadian Conference on Computer and Robot Vision, May 2011 PDF
• Performance of MRF-based Stereo Algorithms for 3D cluttered scenes, F. Mannan and M.S. M.S. Langer, in Brain, Body, and Machines: Advances in Intelligent and Soft Computing 2010, Vol. 83/2010, pp. 125-136
• Two-frame frequency-based estimation of local motion parallax direction in 3D cluttered scenes V. Couture, M.S. Langer, A. Caine, R. Mann 6th International Conference on 3-D Digital Imaging and Modeling , pp. 357-364 Montreal, CA Aug. 2007 PDF
• Can Lucas-Kanade be used to estimate motion parallax in 3D cluttered scenes? V. Couture, M.S. Langer, 4th Canadian Conference on Computer and Robot Vision pp. 63-70, Montreal, CA May. 2007 PDF BEST VISION PAPER AWARD
  
• Motion parallax without motion compensation in 3D cluttered scenes, M.S. Langer, V. Chapdelaine-Couture, R. Mann, S. Roy, Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT) Chapel Hill, USA June, 2006 (PDF )
  
• Spectral estimation of motion parallax and application to egomotion, R. Mann and M.S. Langer, Journal of the Optical Society of America A. 22(9) 1717-1731, 2005. (PDF)
• Principal components analysis of optical snow, V. Chapdelaine-Couture, S. Roy, M. S. Langer, R. Mann. British Machine Vision Conference (BMVC 2004), London U.K. pp. 799-808. 2004. (PDF)
• Estimating camera motion through a 3D cluttered scene, R. Mann and M. S. Langer. 1st Canadian Conf. on Computer and Robot Vision. (CRV'04). London, Canada. pp. 472-479 2004 PDF) BEST PAPER AWARD
• On the computation of image motion and heading in a 3-D cluttered scene, M. S. Langer and R. Mann, in Optical Flow and Beyond, L. Vaina, S. Beardsely, S. Rushton (Ed.), Kluwer Academic Press, (2004) (PDF)
• Tracking through optical snow, M. S. Langer and R. Mann, Lecture Notes in Computer Science 2525: Biologically Motivated Computer Vision, 2nd International Workshop, H. H. Buelthoff, S.W. Lee, T.A. Poggio, C. Wallraven (Eds.), pp. 181-188, Springer, Nov. 2002 . (PDF)

Appearance Modelling

• Visibility in three-dimensional cluttered scenes M. S. Langer, F. Mannan Journal of the Optical Society of America 29:9, pp. 1794--1807, (2012) PDF
• Surface visibility probabilities in 3D cluttered scenes, M.S. Langer, 10th European Conference on Computer Vision, Marseilles FR, Oct. 2008 PDF
• Spatiotemporal power spectra of motion parallax: the case of cluttered 3D scenes D. Rivait, M.S. Langer, Human Vision and Electronic Imaging XII (IS&T/SPIE Symposium on Electronic Imaging) pp. 6492-08, San Jose, CA Feb. 2007 PDF
  
• Optical Snow, M.S. Langer and R. Mann, International Journal of Computer Vision 55(1): 55-71, 2003. (PDF)
• Optical snow and the aperture problem, R. Mann and M. S. Langer, International Conference on Pattern Recognition, Vol. IV, pp. 264-267, Quebec City, Canada. 2002. (PDF)
• Dimensional analysis of image motion, M.S. Langer and R. Mann, IEEE International Conference on Computer Vision. Vol. 1 pp.155-162, Vancouver, Canada (2001). (PDF)
• Large scale failures of f^{-alpha} scaling in natural image spectra, M.S. Langer, Journal of the Optical Society of America A. 17 (1):28-33, 2000. (PDF)

Depth from Defocus Blur

Computer Vision

• Depth from Defocus on a Transmissive Diffraction Mask-based Sensor N. Kunnath, J. Cho, M.S. Langer 17th Conference on Computer and Robot Vision May 2020
• Discriminative filters for depth from defocus F. Mannan and M.S. Langer, International Conference on 3D Vision , Stanford CA, Oct 2016 (PDF)
• What is a good model for depth from defocus? F. Mannan and M.S. Langer, 13th Conference on Computer and Robot Vision , Victoria, Canada, June 2016
• Blur calibration for depth from defocus F. Mannan and M.S. Langer, 13th Conference on Computer and Robot Vision , Victoria, Canada, June 2016
• Optimal camera parameters for depth from defocus F. Mannan and M.S. Langer, International Conference on 3D Vision (3DV) , Lyon France, pp. 326-334, Oct. 2015
Removal of Partial Occlusion from Single Images, S. McCloskey, M.S. Langer, K. Siddiqi, IEEE Trans. Pattern Analysis and Machine Intelligence 33(3), pp. 647--654 (2011). PDF
• Removing Partial Occlusion From Blurred Thin Occluders S. McCloskey, M.S. Langer, K. Siddiqi, 20th International Conference on Pattern Recognition (ICPR) pp. 4400-4403, Aug. 2010. Istanbul, Turkey
• Planar Orientation from Blur Gradients in a Single Image S. McCloskey and M.S. Langer, Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2318-2325 , Miami June 2009 PDF
• Evolving Measurement Regions for Depth from Defocus. S. McCloskey, M.S. Langer, K. Siddiqi, 8th Asian Conference on Computer Vision Vol. 2, pp. 858--868, Tokyo, Japan Nov 2007.
• Automatic Removal of Partial Occlusion Blur S. McCloskey, M.S. Langer, K. Siddiqi, 8th Asian Conference on Computer Vision Vol. 1, pp. 271--282, Tokyo, Japan Nov 2007.
• Seeing around occluding objects, S. McCloskey, M.S. Langer, K. Siddiqi, International Conference on Pattern Recognition (ICPR) , pp. 963--966, Hong Kong Aug. 2006
  
• The reverse projection correlation principle for depth from defocus, S. McCloskey, M.S. Langer, K. Siddiqi, Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT) Chapel Hill, USA June, 2006

Human Vision

• Defocus Discrimination in Video: Motion in Depth V. A. Petrella, S. Labute, M.S. Langer, P. G. Kry, i-Perception, Nov. (2017) (PDF)
• Are blur and disparity complementary cues to depth? M. S. Langer, R. A. Siciliano, Vision Research 107, pp. 15-21 (2015) (PDF)

Lighting (shading, highlights, specular reflections, interreflections)

Human Vision

• Perception of a black room seen through a veiling luminance. A. Gilchrist & M. S. Langer. i-Perception , 11(6), 1–9. (2020).
• Qualitative shape from shading, highlights, and mirror reflections A. Faisman, M. S. Langer Journal of Vision 13(5), (2013) (PDF)
• How does lighting direction affect shape perception of glossy and matte surfaces? A. Faisman, M. S. Langer Proceedings of the ACM Symposium on Applied Perception, Dublin, U.K. Aug. 2013 (PDF)
• Learning illumination- and orientation-invariant representations of objects through temporal association, G. Wallis, B.T. Backus, M. S. Langer, G. Huebner, H.H. Buelthoff, Journal of Vision 9 (7) pp. 1-8 (2009)
• Human perception of local shape from shading under variable lighting, M.S. Langer and H. H. Buelthoff, Workshop on Identifying Objects Across Variations in Lighting: Psychophysics & Computation, Kauai, Hawaii, USA. 2001. (PDF)
• A prior for global convexity in local shape from shading, M.S. Langer and H. H. Buelthoff, Perception. 30 (4):403-410, 2001. (PDF)
• Measuring Visual Shape using Computer Graphics Psychophysics, M.S. Langer and H.H. Buelthoff, Eurographics Workshop on Rendering, (Eds.) B. Péroche, H. Rushmeier. pp. 1-9, Springer, Wien. 2000. (PDF)
• Depth discrimination from shading under diffuse lighting, M.S. Langer and H. H. Buelthoff, Perception.29 (6) 649-660, 2000. (PDF)

Computer Vision

• Interreflections. M.S. Langer Computer Vision . Springer, Cham. Ikeuchi K. (eds) (2021) DOI
• Interreflections. M. S. Langer, Computer Vision, A Reference Guide K. Ikeuchi ed., Springer 2014: 423-424 PDF
• Towards Accurate Recovery of Shape from Shading under Diffuse Lighting, A.J. Stewart, M.S. Langer, IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(9):1020-1025, 1997. (PDF)
• Towards Accurate Recovery of Shape from Shading Under Diffuse Lighting, A.J. Stewart and M.S. Langer, IEEE Conf. on Computer Vision and Pattern Recognition. pp. 411-418. San Fran., CA. (1996). (PDF)
• Space Occupancy Using Multiple Shadow Images, M.S. Langer, G. Dudek and S.W. Zucker, International Conf. on Intelligent Robotics and Systems. pp. 390-396, Pittsburg PA. (1995).
• Shape from Shading on a Cloudy Day, M.S. Langer, S. W. Zucker, Journal of Optical Society of America. 11: 467-478, 1994. (PDF)
• Diffuse Shading, Visibility Fields, and the Geometry of Ambient Light, M.S. Langer and S.W. Zucker, Fourth IEEE International Conf. on Computer Vision. pp. 138-147, Berlin, Germany. (1993).
• Qualitative Shape from Active Shading, M.S. Langer and S.W. Zucker, IEEE Conf. on Computer Vision and Pattern Recognition. pp. 713-715, Urbana-Champagne, IL. (1992).
• Shading Flow Fields and Scenel Bundles : An Overview, P. Breton, L.A. Iverson, M.S. Langer and S.W. Zucker, Second European Conf. on Computer Vision. pp. 135-150, Santa Margherita Ligure, Italy, Springer-Verlag, New York. (1992).
• Local Qualitative Shape from Active Shading, M.S. Langer and S.W. Zucker, in Exploratory Vision: The active eye. M. Landy, M. Pavel and L. Malony (ed.) pp. 191-201. Springer Verlag, New York. (1995).
• Shading Flow Fields and Scenel Bundles: A New Approach to Shape From Shading, P. Breton, L.A. Iverson, M.S. Langer and S.W. Zucker, in Neural Networks for Vision and Image Processing. G. Carpenter and S. Grossberg (eds.), pp. 111-132. MIT Press, Cambridge, MA. (1992).

Appearance Models

• Motion of specularities on low-relief surfaces: frequency domain analysis Y. Farasat, M.S. Langer, Human Vision and Electronic Imaging XII (IS&T/SPIE Symposium on Electronic Imaging) pp. 6492-1A, San Jose, CA Feb. 2007 PDF
  
• A cue to shading: elongations near intensity maxima D. Gipsman, M.S. Langer, Fifth Canadian Conference on Computer and Robot Vision, May 2008
• A model of how interreflections can affect color appearance, M.S. Langer, Colour Research and Application 26(S1) 218-221 (2001). (Special Issue: The Proceedings of the International Colour Vision Society. Edited by C. R. Cavonius, K. Knoblauch, B. B. Lee, J. Pokorny.) (PDF)
• When shadows become interreflections, M.S. Langer, International Journal of Computer Vision. 34 (2/3):193-204, 1999. (PDF)
• Casting light on illumination: a computational model and dimensional analysis of sources, M.S Langer, S.W. Zucker, Computer Vision and Image Understanding. 65: (2):322-335, 1997. (PDF)
• What is a Light Source?, M.S. Langer and S.W. Zucker, IEEE Conf. on Computer Vision and Pattern Recognition. pp. 172-178, San Juan, PR (1997). (PDF) BEST PAPER AWARD
• A ray-based computational model of light sources and illumination, M.S. Langer and S.W. Zucker, IEEE Workshop on Physics-based Modelling in Comp. Vis.. pp. 93-99, Cambridge, MA. (1995).
• Converging and Diverging Light Sources: A Computational Model of Spatially Varying Illumination., M.S. Langer and S.W. Zucker, Third European Conf. on Computer Vision. pp. 227-232, Stockholm, Sweden (1994).

Applied Perception, Computer Graphics, Computational Photography

A Psychophysical Evaluation of Texture Compression Masking Effects G. Lavoue, M.S. Langer, A. Peytavie, P. Poulin, IEEE Transactions on Visualization and Computer Graphics Feb. 2018 (PDF)

Omnistereo video textures without ghosting , V. Couture, M.S. Langer, S. Roy, 3DV: Third Joint 3DIM/3DPVT Conference Seattle, WA June 2013 (PDF)

Perception of blending in stereo motion panoramas V. Couture, M.S. Langer, S. Roy, ACM Transactions on Applied Perception 9:3, July (2012) PDF

Panoramic stereo video textures, V. Couture, M.S. Langer, S. Roy IEEE International Conference on Computer Vision (ICCV) Barcelona, Spain. Nov. 2011 PDF

Analysis of Disparity Distortions in Omnistereoscopic Displays V. Couture, M.S. Langer, S. Roy, ACM Transactions on Applied Perception vol. 7 no. 4 (2010) PDF

Capturing Non-Periodic Omnistereo Motions V. Couture, M.S. Langer, S. Roy 10th Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras (OMNIVIS), June 2010, Zaragoza, Spain PDF

Perceptual limits on 2D motion field visualization, M. S. Langer, J. Pereira, D. Rekhi, ACM Transactions on Applied Perception, 3(3) pp. 179--193 (2006) PDF

Layered motion field visualization: perceptual issues, M. S. Langer, D. Rekhi, J. Pereira, A. Bhatia, Second Symposium on Applied Perception in Graphics and Visualization (APGV 05) pp. 37-42, 2005. (PDF)

A spectral-particle hybrid method for rendering falling snow, M. S. Langer, L. Zhang, A.W. Klein, A. Bhatia, J. Pereira, D. Rekhi. Rendering Techniques 2004 Eurographics Symposium on Rendering. A. Keller, H. W. Jensen (eds.) pp. 217-226. Norrkoping, Sweden. 2004 (PDF) (VIDEOS)

Massively Parallel Radiosity in the Presence of Multiple Isotropic Volume Scattering, M.S. Langer, P. Breton and S.W. Zucker, Graphics Interface. pp. 103-108, Quebec, Canada. (1995).